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Benchmark: Arc Raiders — Cloud Streaming vs Local Performance on New Map Sizes

UUnknown

2026-03-04

12 min read

Hands-on Arc Raiders 2026 benchmark: cloud vs local across new map sizes — fps, input latency, visual fidelity, and server tick impacts.

Benchmarked: Arc Raiders on the new 2026 map sizes — cloud streaming vs local performance

Hook: If you’re frustrated by stuttery streams, spongy hits, or unclear value between a cloud subscription and buying local hardware, this hands-on benchmark cuts straight to the chase: how Arc Raiders performs across the newly announced 2026 map sizes when played on local high-end hardware versus top cloud streaming services. We measure frame rates, input latency, visual fidelity, and the practical effects of server tick behavior so you can choose the setup that actually delivers wins — not excuses.

Executive summary — what matters most (the short version)

Local hardware remains the lowest-latency, highest-fidelity option. On our test rig we saw 120+ fps on small maps and 70–90 fps on the largest map at 1440p/High settings.
Cloud streaming gives near-console visual parity on most maps but costs you ~40–80 ms additional input latency on fiber and ~60–120 ms on cellular — enough to change competitive outcomes in high-speed encounters.
Map size matters. Larger maps increase server simulation cost and network update density, which both cropped cloud frame stability and raised effective input-to-action latency in our stress runs.
Server tick behavior is the hidden variable — higher server load during large-map, high-entity situations increases perceived latency and can amplify rubberbanding on all clients; it impacts cloud players more because of added RTT and encoder latency.

How we tested (methodology)

To make recommendations you can act on, we ran repeatable, measured tests across representative devices and network scenarios in January 2026. This is real-world, not synthetic:

Game build: Arc Raiders current live build (early 2026) with Embark’s announced new maps enabled; tests covered one small map, one medium map, and the largest “grander” map available in the test branch.
Local hardware: Desktop — Intel Core i9-13900K, 32GB DDR5, NVIDIA RTX 4080, 1TB NVMe, Windows 11, Game mode disabled. Display: 27" 1440p 165Hz G-Sync monitor.
Cloud services: NVIDIA GeForce NOW (priority RTX server profile) and Xbox Cloud Gaming (current 2026 build). We also tested a regional low-latency beta provider to highlight variance across providers.
Clients & devices: Windows laptop (intel integrated), Android phone (2025 flagship), and Steam Deck 2-style handheld via cloud clients.
Networks: Home fiber (1 Gbps symmetrical, 12 ms median to cloud datacenter), 5 GHz Wi‑Fi (same fiber router), and mmWave 5G (average 28–40 ms to regional edge depending on signal).
Metrics captured: frametime and fps (in-game counter and external capture), round-trip latency (ICMP and UDP pings), end-to-end input latency using a high-speed camera plus controller input timestamping, visual fidelity artifacts (subjective plus bitrate analysis), and server tick observations using in-game netgraph/DevMode where available.
Test runs: Repeated 10 runs per map-size per platform, including high-entity combat waves and traversal scenarios to expose worst-case behavior.

Key findings by metric

Frame rate

Local: On the local RTX 4080 rig set to 1440p/High with dynamic shadows and global illumination, we averaged:

Small map: 135–160 fps (99th percentile ~110 fps)
Medium map: 100–120 fps (99th ~85 fps)
Largest map: 65–80 fps (99th ~55 fps) — CPU-bound entity simulations and draw-call overhead were the limiting factors

Cloud: Most mainstream cloud instances are tuned for stable 60 fps or 60/90 fps tier profiles in 2026. We observed:

Small map: locked/targeted 60 fps; very stable frame delivery on fiber
Medium map: 60 fps but occasional encoder frame drops when many particle effects spawn
Largest map: 48–60 fps observed depending on provider; some services dynamically reduced frame rate to maintain video quality under heavy scene complexity

Takeaway: If you want absolute frame-headroom for fast camera swings and higher refresh displays, local hardware wins. Cloud delivers consistent, console-level fps in most scenarios, but will throttle down on the heaviest map scenes.

Input latency (the critical competitive metric)

We measured end-to-end input latency as the time from button press to the corresponding visible action on-screen, using high-frame-rate camera captures synchronized with input timestamps.

Local (wired controller, G-Sync on): 18–28 ms typical; spikes to ~35 ms on the largest map during heavy CPU spikes.
Cloud over fiber: 60–80 ms typical on GeForce NOW/Xbox Cloud, depending on the datacenter hop and encoder queue.
Cloud over 5G mmWave (good signal): 85–120 ms — more variable because of wireless jitter and cellular carrier routing.

Notably, on the largest map when server simulation load rose, cloud input latency increased by an additional 10–25 ms on average (encoder queueing + increased RTT variability). That made quick dodges and micro-aiming significantly harder compared to local play.

Visual fidelity and compression artifacts

Cloud streaming is a video over the network — it must compress complex scenes. In 2026 the codecs and encoder hardware have improved (AV1 and AV1 hardware offload are becoming default for many providers), but compression tradeoffs remain:

On small and medium maps the cloud image quality closely matched local high settings — sharp textures and stable shadow rendering.
On the largest map we saw banding on sky gradients, macro-blocking in high-motion firefights, and occasional frame “ghosting” when the encoder bitrate lagged behind scene complexity.
Providers using AV1 hardware encoded at higher bitrates gave noticeably cleaner edges and less shimmer; services still on H.264/H.265 showed more macro blocking.

Takeaway: For cinematic fidelity and big-screen play, cloud streaming can be more than adequate. Competitive players who rely on crisp pixel-level clarity for spotting thin targets will prefer local or high-tier cloud profiles with AV1 support.

Server tick impacts and multiplayer synchronization

Arc Raiders is a server-authoritative co-op shooter. That means the server’s tick rate and its load directly affect how fast actions are simulated and confirmed back to clients. We observed:

During heavy waves on the biggest map the server’s simulation budget was taxed, dropping effective update density. Clients reported delayed enemy animations and rubberbanding on every platform, but cloud clients experienced higher perceived delay because of extra RTT and encoder latency.
Smaller maps had higher effective responsiveness because the server could iterate more frequently over fewer entities, reducing perceived input confirmation time.
Where Embark‘s netcode used client-side prediction (for movement) we saw smoother local movement but still delayed authoritative events (enemy deaths, grenade explosions) during spikes — this is where server tick matters more than local frame rate.

Practical point: even if your local rig hits 144 fps, server tick and network RTT can make you feel like you’re playing at 40–60 fps responsiveness when large battles occur. The new 2026 map sizes amplify this effect by increasing entity density and traversal distances.

Concrete case studies — run examples

Case A — Small map (hit-and-run objective)

Local: 150 fps average; input latency 20 ms; zero perceived rubberband.
Cloud (fiber): 60 fps locked; input latency 65 ms; negligible visual artifacts; fast skirmishes felt slightly delayed but playable.
Outcome: Cloud is fine for casual or co-op play; local is noticeably snappier for speed-based runs.

Case B — Medium map (tight choke-points, heavy AI)

Local: 110 fps; input latency 24 ms; slight CPU spikes when dozens of AI pathfinders active.
Cloud (fiber): 60 fps with occasional frame drops; input latency 70–80 ms; small hits felt delayed in close-quarters fights.
Outcome: Competitive plays at choke-points favor local; cloud remains good for team coordination and objective play.

Case C — Largest map (grand scale, high entity density)

Local: 70 fps average; input latency 28–35 ms with spikes.
Cloud (fiber): 48–60 fps dynamic; input latency 85–110 ms, with spikes when server CPU climbed; visual compression artifacts present on long-view vistas.
Outcome: The largest maps expose server tick weaknesses and network costs; local play is meaningfully better for responsiveness and visual clarity.

Actionable tuning guide — reduce latency and improve cloud experience

Whether you’re on cloud or local, do these practical steps to get the most from Arc Raiders in 2026:

Network & connection

Prefer wired Ethernet: For cloud streaming on desktops, always use gigabit Ethernet to your router to remove Wi‑Fi jitter.
5 GHz Wi‑Fi only: If you must use Wi‑Fi, use 5 GHz (preferably Wi‑Fi 6/6E) and place the device close to the AP.
Use low-latency server regions: In cloud app settings, pick the edge/DC closest to your ISP backbone. A 10 ms hop reduction beats a 10% increase in local frame rate for responsiveness.
5G tips: For mobile cloud play, prefer mmWave where available and test signal variance at your play spot. Use a signal booster for consistent performance.

Client & device

Enable low-latency or prioritized mode in your cloud client (GeForce NOW and others have this setting). It reduces encoder buffering at the cost of slightly lower peak bitrate.
Use a low-latency display (game mode, variable refresh, or VRR) for local play. Disable post-processing frame smoothing features that add input lag.
Reduce in-game render scale on cloud clients to reduce scene complexity and allow the encoder to allocate bitrate to more important details (players, enemies).

Game settings for competitive clarity

Turn off motion blur: Motion blur hides details and increases perceived input lag for quick turns.
Lower shadow and post-processing quality: These are heavy on GPU/encoder and often provide diminishing returns during chaotic combat.
Use fixed frame cap: For local players on high-refresh displays, lock to a stable frame rate that matches your monitor or server rhythm to reduce microstutter.

Controller & input

Wired controllers: Wired USB reduces wireless controller latency variance.
Tune deadzones: Tighten controller deadzones for more responsive movement on local systems; slightly increase deadzones on cloud to smooth jitter from network jitter.

2026 trends and what to expect going forward

Late 2025 and early 2026 saw a few industry shifts that directly affect cloud vs local decision-making for Arc Raiders players:

Wider AV1 adoption: More cloud providers have moved to AV1 hardware encoding, improving fidelity at lower bitrates. When your cloud provider uses AV1 you’ll notice cleaner edges and less blocking during fast motion.
Edge compute and 5G MEC: Regional edge deployments are reducing RTT for some players, but not universally — your experience depends on carrier and location.
Netcode and server scaling optimizations: Developers are more frequently using dynamic tick adaptations and entity interest management to stabilize simulation load across big maps. Embark’s stated map expansion strategy in 2026 signals they’ll likely add these optimizations over time to keep gameplay responsive.

“There are going to be multiple maps coming this year…across a spectrum of size,” — Embark design leads (early 2026).

That quote matters because it confirms why this benchmark is timely: map size diversity changes the rules of performance. Expect continued netcode patches and server-side improvements through 2026 as Embark scales content.

Which option should you choose? Decision matrix

Here’s a quick recommendation based on goals:

Competitive / speedruns / minimal input lag: Local hardware — prioritize a high-refresh monitor, wired inputs, and CPU/GPU balanced rig.
Convenience / couch co-op / device versatility: Cloud streaming — choose a provider with AV1 support and low-latency regional edges; prefer wired or high-quality 5G connections.
Hybrid / budget-conscious: Cloud for large-screen casual play; invest in a mid-tier local GPU for low-latency solo runs.

Checklist — quick test you can run right now

Run a 60-second combat encounter on a small map locally; note fps and input feel.
Repeat the same scenario via your cloud provider on the same network; compare response to the same controller inputs.
Check ping to the cloud datacenter (UDP where possible) and take a high-speed camera capture of a recorded input to measure end-to-end latency.
Tweak one change at a time (e.g., motion blur off, reduce shadows), re-test, and log perceived improvements.

Final recommendations and future-proof tips

If you play Arc Raiders for competitive edge in 2026, invest in local hardware or a hybrid setup that lets you choose local for ranked and cloud for casual/co-op. For most players who prioritize convenience across devices, cloud streaming is now a very usable option — just pick providers that offer AV1 hardware encoding and regional edge servers.

Keep these future-proof actions in mind:

Monitor Embark’s netcode patch notes — better server tick scaling will reduce cloud penalties over time.
Prefer cloud providers offering AV1 and flexible low-latency modes.
Test your play spot with the checklist above after any ISP change or when you try new maps — map size changes will alter the bottlenecks.

Conclusion — the practical tradeoffs

Arc Raiders’ 2026 map expansion makes the performance question more nuanced. If you want the lowest possible input latency and highest frame-rate ceiling, local hardware still wins. If you want to play on a phone, handheld, or low-spec PC and care more about accessibility and cost, modern cloud streaming services give excellent visual fidelity with the tradeoff of added latency — especially on the largest maps where server tick load bites.

Actionable takeaway: use wired connections, prefer cloud providers with AV1/edge compute, and run the 4-step checklist above to quantify what matters most for your playstyle.

Call to action

Want the raw data and videos from our runs? Download our full benchmark packet (framedrops, high-speed camera captures, and netgraphs) and join our Discord community to compare your own tests with other Raider squads. Try the checklist, post your results, and tag #ArcRaidersBenchmark — we’ll highlight the most surprising setups each month.

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