Same model, quantization, context length, prompt, output length, runtime version and batch size. Record time to first token separately.
Externally reported measurements. MiniPC.guru has not independently reproduced these tests.
46.05 tok/sIndependent reviewGMKtec EVO-X2 Ryzen AI Max+ 395 benchmarks
By Nish Tahir · Another Dev's Two Cents
- Source published
- Oct 23, 2025
- Test performed
- Not reported by source
- Added to MiniPC.guru
- Sep 17, 2026
- Source reviewed
- Sep 17, 2026
- Tested hardware
- AMD Ryzen AI Max+ 395 with Radeon 8060S · Radeon 8060S (gfx1151); 1 GB UMA frame buffer plus 128 GB GTT (amd_iommu=off amdgpu.gttsize=131072) · 128 GiB unified · not applicable: the source does not identify the installed SSD, and token generation does not read from it once the model is resident in memory
- Software / version / OS
- llama.cpp llama-bench, ROCm/HIP backend · build 03792ad9 (6816) · Ubuntu 24.04.3 LTS, kernel 6.8.0-86-generic
- Power profile
- not reported by source
- Test conditions
- gpt-oss 120B MXFP4 MoE (59.02 GiB); tg32 at context depth 0; -fa 1 -p 2048 -n 32 -ub 2048 --mmap 0 -ngl 99; prompt processing 818.11 tok/s; ±0.18
Editorial review checks the source and documentation; it does not certify the measurement or mean we tested the device ourselves.
34.15 tok/sIndependent reviewGMKtec EVO-X2 Ryzen AI Max+ 395 benchmarks
By Nish Tahir · Another Dev's Two Cents
- Source published
- Oct 23, 2025
- Test performed
- Not reported by source
- Added to MiniPC.guru
- Sep 17, 2026
- Source reviewed
- Sep 17, 2026
- Tested hardware
- AMD Ryzen AI Max+ 395 with Radeon 8060S · Radeon 8060S; 1 GB UMA plus 128 GB GTT · 128 GiB unified · not applicable: the source does not identify the installed SSD, and token generation does not read from it once the model is resident in memory
- Software / version / OS
- llama.cpp llama-bench, ROCm/HIP backend · build 03792ad9 (6816) · Ubuntu 24.04.3 LTS, kernel 6.8.0-86-generic
- Power profile
- not reported by source
- Test conditions
- gpt-oss 120B MXFP4 MoE; tg32 with a full 32768-token context; prompt processing at the same depth 274.69 tok/s
Editorial review checks the source and documentation; it does not certify the measurement or mean we tested the device ourselves.
65.73 tok/sIndependent reviewGMKtec EVO-X2 Ryzen AI Max+ 395 benchmarks
By Nish Tahir · Another Dev's Two Cents
- Source published
- Oct 23, 2025
- Test performed
- Not reported by source
- Added to MiniPC.guru
- Sep 17, 2026
- Source reviewed
- Sep 17, 2026
- Tested hardware
- AMD Ryzen AI Max+ 395 with Radeon 8060S · Radeon 8060S; 1 GB UMA plus 128 GB GTT · 128 GiB unified · not applicable: the source does not identify the installed SSD, and token generation does not read from it once the model is resident in memory
- Software / version / OS
- llama.cpp llama-bench, ROCm/HIP backend · build 03792ad9 (6816) · Ubuntu 24.04.3 LTS
- Power profile
- not reported by source
- Test conditions
- gpt-oss 20B MXFP4 MoE (11.27 GiB); tg32 at context depth 0; -fa 1 -ub 2048 --mmap 0; prompt processing 1621.75 tok/s
Editorial review checks the source and documentation; it does not certify the measurement or mean we tested the device ourselves.
50.16 tok/sIndependent reviewGMKtec EVO-X2 Ryzen AI Max+ 395 benchmarks
By Nish Tahir · Another Dev's Two Cents
- Source published
- Oct 23, 2025
- Test performed
- Not reported by source
- Added to MiniPC.guru
- Sep 17, 2026
- Source reviewed
- Sep 17, 2026
- Tested hardware
- AMD Ryzen AI Max+ 395 with Radeon 8060S · Radeon 8060S; 1 GB UMA plus 128 GB GTT · 128 GiB unified · not applicable: the source does not identify the installed SSD, and token generation does not read from it once the model is resident in memory
- Software / version / OS
- llama.cpp llama-bench, ROCm/HIP backend · build 03792ad9 (6816) · Ubuntu 24.04.3 LTS
- Power profile
- not reported by source
- Test conditions
- Qwen3 Coder 30B A3B Q8_0 (30.25 GiB); tg32 at context depth 0; prompt processing 773.45 tok/s; the same run at 32768 tokens of context gives 27.59 tok/s
Editorial review checks the source and documentation; it does not certify the measurement or mean we tested the device ourselves.
71 tok/sCommunity benchmarkQwen3-Coder-30B performance benchmark on AMD Strix Halo (GMKtec EVO-X2)
By pablo-ross · GitHub pablo-ross/strix-halo-gmktec-evo-x2
- Source published
- Nov 4, 2025
- Test performed
- Not reported by source
- Added to MiniPC.guru
- Sep 17, 2026
- Source reviewed
- Sep 17, 2026
- Tested hardware
- AMD Ryzen AI Max+ 395 with Radeon 8060S · Radeon 8060S; 1 GB video memory plus 128 GB GTT, 18.4 GB in use · 124 GiB visible of 128 GB · not applicable: the source does not identify the installed SSD, and token generation does not read from it once the model is resident in memory
- Software / version / OS
- llama.cpp llama-server serving the OpenAI completions API, ROCm with rocWMMA · llama.cpp b6942 (1f5accb8d), ROCm 7.0 RC · Ubuntu 24.04 LTS, kernel 6.16.9
- Power profile
- not reported by source
- Test conditions
- Qwen3-Coder-30B-A3B-Instruct Q4_K_M (17.3 GiB); -c 8192 --parallel 2 -ngl 99 --no-mmap; max_tokens 128, temperature 0.7; 51-token prompts; median of 3 runs, 71.00 ±0.02 tok/s; prompt processing 28.29 tok/s
Editorial review checks the source and documentation; it does not certify the measurement or mean we tested the device ourselves.
22.14 tok/sCommunity benchmarklocal-ai-amd-benchmark: usability benchmark for local LLMs on AMD hardware
By Kai Felix Bennett · GitHub KaiFelixBennett/local-ai-amd-benchmark
- Source published
- Sep 1, 2026
- Test performed
- Not reported by source
- Added to MiniPC.guru
- Sep 17, 2026
- Source reviewed
- Sep 17, 2026
- Tested hardware
- AMD Ryzen AI Max+ 395 · Radeon 8060S (gfx1151); 64.4 GiB reserved to the iGPU in BIOS, 63.6 GiB visible to Windows · 128 GiB unified LPDDR5X · not applicable: the source does not identify the installed SSD, and token generation does not read from it once the model is resident in memory
- Software / version / OS
- llama.cpp llama-bench, Vulkan backend, no speculative decoding · build 580e88d · Windows 11 Pro 26200, Adrenalin 32.0.31021.5001, Vulkan SDK 1.4.350.0
- Power profile
- not reported by source
- Test conditions
- Qwen3.8-Flash-Next UD-Q4_K_XL (177B total, about 6B active); token generation at 512 tokens of context depth; median of 3 runs
Editorial review checks the source and documentation; it does not certify the measurement or mean we tested the device ourselves.
8.84 tok/sCommunity benchmarklocal-ai-amd-benchmark: usability benchmark for local LLMs on AMD hardware
By Kai Felix Bennett · GitHub KaiFelixBennett/local-ai-amd-benchmark
- Source published
- Sep 1, 2026
- Test performed
- Not reported by source
- Added to MiniPC.guru
- Sep 17, 2026
- Source reviewed
- Sep 17, 2026
- Tested hardware
- AMD Ryzen AI Max+ 395 · Radeon 8060S; 64.4 GiB reserved to the iGPU in BIOS · 128 GiB unified LPDDR5X · not applicable: the source does not identify the installed SSD, and token generation does not read from it once the model is resident in memory
- Software / version / OS
- llama.cpp llama-bench, Vulkan backend, no speculative decoding · build 580e88d · Windows 11 Pro 26200
- Power profile
- not reported by source
- Test conditions
- Qwen3.8-Flash-Next UD-Q4_K_XL; token generation at 131072 tokens of context depth; single run, not a median
Editorial review checks the source and documentation; it does not certify the measurement or mean we tested the device ourselves.