Intel Arc A770 — Benchmarks & Specs
Short answer: the Intel Arc A770 generates a median 52.6 tokens/sec on 7-9B dense models at 4-bit (Q4) under llama.cpp, across 7 cited runs from llama.cpp GitHub Discussion, KnightLi llama.cpp GPU Scoreboard and diunox/arc-inference-bench. Its 16 GB of VRAM holds up to gpt-oss-20b at MXFP4 with an ~8K context, by the Will-It-Run matrix's sizing (14 of 23 models fit). At the $710.19 Amazon price checked 3 h ago (prices change), that is 74.0 tok/s per $1,000, the SpecPicks Value Index.
- Median speed 52.6 tok/s 7 cited runs, 7-9B at Q4, llama.cpp
- Fits in 16 GB up to gpt-oss-20b at MXFP4 → at ~8K context; 14 of 23 models in the Will-It-Run matrix
- Lowest linked price $710.19 Amazon, checked ; prices change
- Value Index 74.0 tok/s per $1,000 median speed ÷ the price above
Bottom line: how fast is the Intel Arc A770?
SpecPicks median: 52.6 tokens/sec across 7 cited single-user runs of 7-9B dense models at 4-bit (Q4) under llama.cpp (range 15.4–67.1 tok/s), from llama.cpp GitHub Discussion (3 runs), KnightLi llama.cpp GPU Scoreboard, diunox/arc-inference-bench (3 runs). At the $710.19 Amazon price of the cheapest linked listing (checked ; prices change), that is a SpecPicks Value Index of 74.0 tok/s per $1,000. At 1440p Prioritize Graphics, the Intel Arc A770 averages 72 fps in Resident Evil 4 (2023 Remake), per Gamers Nexus. For local LLM inference it generates 19.0 tokens/sec running deepseek-coder-v2-lite:16b at q4_K_M under ipex-llm, per Local AI Master. In 3DMark Fire Strike (GPU subscore) it scores 33,666 points, per PC Unboxing. It has 16 GB of VRAM, and the deepseek-coder-v2-lite:16b run above (16B parameters) is the largest model on file at 4-bit quantization on this card. Larger models have no sourced run on file.
Every figure above is a row in the tables below, and each row links out to the review or public benchmark database the number was taken from; the SpecPicks median is computed here from the runs it names, each a row in the AI table, and the per-$1,000 figure divides it by the dated listing price. SpecPicks aggregates published measurements; it does not report first-party benchmark runs.
Amazon listing: $710.19
This Amazon listing is above the Intel Arc A770's $349 launch MSRP. Compare new and used listings on eBay before buying.
*Price sourced from Amazon.com. Last updated 2026-10-21. Price and availability subject to change.
Read the full comparison → Arc A770 vs B580 for Local LLM Inference: 2025 Comparison
Check what fits in 16 GB: by Q4-class file size, 14 of the 23 open-weight models in the SpecPicks Will-It-Run matrix load entirely into the Intel Arc A770's 16 GB with 1.5 GB left for an ~8K context, up to gpt-oss-20b (a 12.1 GB MXFP4 file per its Hugging Face listing). Will gpt-oss-20b run on the Intel Arc A770 16GB? → · Full Will-It-Run matrix
The Intel Arc A770 is a graphics card from the Alchemist family released in 2022 from Intel. Key on-paper specs include 16 GB of GDDR6 VRAM, 225W TDP. It launched with a $349 MSRP, though street prices typically diverge meaningfully from launch pricing — see the linked product cards below for current listings. Data on this page draws on 4 linked listings, 13 synthetic benchmark results (top 10 shown), 32 community AI inference reports (top 16 shown), 63 game frame-rate results (top 15 shown), compiled from Gamers Nexus, diunox/arc-inference-bench, GigaChad LLC, Local AI Master, PC Unboxing, 3DMark, KitGuru, KnightLi llama.cpp GPU Scoreboard, llama.cpp GitHub Discussion, Intel Gaming Access, Markaicode, PassMark, The FPS Review, Trusted Reviews; each table row links to its source. Read this page when shopping the Intel Arc A770, comparing it against other graphics cards in your build, or sizing it for a specific workload (gaming at 1080p/1440p/4K, synthetic benchmark scores, or local LLM inference).
Gaming Performance (reported FPS)
Average and 1% low frame rates by game, resolution, and quality preset. Bars are scaled against the fastest result on this page.
| Game | Resolution | Settings | Relative | Avg FPS | 1% low | Source |
|---|---|---|---|---|---|---|
| Dying Light 2 | 1080p | High | 152 fps | — | Gamers Nexus 2026-09-06 | |
| Final Fantasy XIV Endwalker | 1440p | Maximum | 145 fps | — | Gamers Nexus 2026-09-06 | |
| Hitman 3 | 1080p | Ultra | 130 fps | — | GigaChad LLC 2026-06-07 | |
| Resident Evil 4 (2023) | 1080p | Prioritize Graphics | 116 fps | — | Gamers Nexus 2024-02-20 | |
| Resident Evil 4 Remake | 1080p | Prioritize Graphics | 116 fps | — | Gamers Nexus 2024-02-20 | |
| Resident Evil 4 | 1080p | Ultra | 116 fps | — | Gamers Nexus 2026-09-06 | |
| Resident Evil 4 (2023 Remake) | 1080p | Prioritize Graphics | 116 fps | — | Gamers Nexus 2024-02-20 | |
| Forza Horizon 5 | 1080p | Ultra | 110 fps | — | GigaChad LLC 2026-06-07 | |
| Dying Light 2 | 1440p | High | 110 fps | — | Gamers Nexus 2026-09-06 | |
| Horizon Zero Dawn | 1080p | Ultimate Quality | 105 fps | — | KitGuru 2022-10-05 | |
| Rainbow Six Siege | 4K | Ultra | 98 fps | — | Gamers Nexus 2026-09-06 | |
| Far Cry 6 | 1080p | Ultra | 97 fps | — | KitGuru 2022-10-05 | |
| Horizon Zero Dawn | 1080p | Ultra | 95 fps | — | Trusted Reviews 2024-04-24 | |
| Shadow of the Tomb Raider | 1440p | Highest | 92 fps | 74 fps | GigaChad LLC 2026-06-07 | |
| Resident Evil 4 (2023 Remake) | 1440p | Prioritize Graphics | 72 fps | — | Gamers Nexus 2024-02-20 |
AI Inference Performance
Tokens per second under each model + quantization. Higher = faster generation. Bars compare runs across the same model.
| Model | Quantization | Relative | Tokens/sec | VRAM used | Source |
|---|---|---|---|---|---|
| mistral:7b | FP16 ollama | 70.0 tok/s | 16.0 GB | Markaicode 2025-06 | |
| mistral:7b | q4_0 ipex-llm | 70.0 tok/s | 5.5 GB | GigaChad LLC 2024-06 | |
| mistral:7b | FP16 ipex-llm | 70.0 tok/s | — | Intel Gaming Access 2024-04-18 | |
| llama2:7b | q4_0 llama.cpp | 67.1 tok/s | — | llama.cpp GitHub Discussions 2026-05-29 | |
| llama2:7b | q4_0 llama.cpp | 64.5 tok/s | — | llama.cpp GitHub Discussion #23313 2026-05-22 | |
| llama3.2:3b | q4_K_M ipex-llm | 64.2 tok/s | 2.1 GB | Local AI Master 2026-04 | |
| llama-2-7b | q4_0 llama.cpp | 59.0 tok/s | — | llama.cpp GitHub perf thread (SYCL backend) 2026-05-19 | |
| phi3.5:3.8b | q4_K_M ipex-llm | 58.1 tok/s | 2.7 GB | Local AI Master 2026-04 | |
| phi3.5-mini:3.8b | q4_K_M ollama | 58.1 tok/s | 2.7 GB | Local AI Master 2026-04-23 | |
| mistral:7b | INT4 openvino | 57.3 tok/s | — | diunox/arc-inference-bench (GitHub) 2026-03-16 | |
| llama-2-7b | q4_0 llama.cpp | 53.1 tok/s | — | llama.cpp GitHub perf thread (Vulkan backend scoreboard) 2026-10-07 | |
| llama2:7b | q4_0 llama.cpp | 52.6 tok/s | — | KnightLi llama.cpp GPU Scoreboard 2026-04-23 | |
| mistral:7b | q4_K_M llama.cpp | 25.6 tok/s | — | diunox/arc-inference-bench (GitHub) 2026-03-15 | |
| qwen3:8b | q4_K_M llama.cpp | 21.0 tok/s | — | diunox/arc-inference-bench (GitHub) 2026-03-15 | |
| deepseek-coder-v2-lite:16b | q4_K_M ipex-llm | 19.0 tok/s | 10.4 GB | Local AI Master 2026-04 | |
| gemma2:9b | q4_K_M llama.cpp | 15.4 tok/s | — | diunox/arc-inference-bench (GitHub) 2026-03-15 |
Synthetic Benchmarks
Higher is better. Bars are scaled within each benchmark family (multi-thread, single-thread, etc.) so you can compare like-with-like at a glance.
| Benchmark | Relative | Score | Source |
|---|---|---|---|
| 3DMark Fire Strike (GPU subscore) | 33,666 points | PC Unboxing 2024-06-10 | |
| 3DMark Fire Strike Extreme (GPU subscore) | 15,638 points | PC Unboxing 2024-06-10 | |
| 3DMark Time Spy | 14,865 points | 3DMark 2023-06 | |
| PassMark G3D Mark | 13,347 pts | PassMark retrieved 2026-04-20 | |
| 3DMark Time Spy | 13,158 points | The FPS Review 2024-12-11 | |
| 3DMark Port Royal | 10,107 points | 3DMark 2023-03 | |
| 3DMark Port Royal | 7,354 points | PC Unboxing 2024-06-10 | |
| 3DMark Fire Strike Ultra (GPU subscore) | 7,016 points | PC Unboxing 2024-06-10 | |
| 3DMark Steel Nomad DX12 Graphics Score | 2,972 points | 3DMark (UL Benchmarks) 2026-10-07 | |
| 3DMark Steel Nomad | 2,965 points | UL Benchmarks (3DMark) 2024-06 |
Products Featuring the Intel Arc A770
Full Specifications
| TDP | 225 W |
|---|---|
| VRAM | 16 GB |
| Xe cores | 32 |
| Memory type | GDDR6 |
Intel Arc A770 — Frequently Asked Questions
What is the Intel Arc A770 best used for?
When was the Intel Arc A770 released, and what was its launch MSRP?
Where do the Intel Arc A770 benchmark numbers come from?
Can the Intel Arc A770 run local LLMs?
Where can I buy the Intel Arc A770?
Buying guides that rank the Intel Arc A770's class
This page is the raw performance data. The guides below turn it into a ranked pick for a specific build.
Editorial guides covering the Intel Arc A770
In-depth SpecPicks reviews, build guides, and head-to-heads referencing this graphics card.
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- IPEX-LLM + Ollama vs a CUDA RTX 3060 Rig
- Arc A770 16GB vs RTX 3060 12GB for Local Llama 3
- RTX 3060 12GB vs Arc A770 16GB for Stable Diffusion in 2026
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