Ryzen AI Max+ 395 mini PC 128 GB
Data checked: 2026-10-12. Review interval shown below. Prices need review after 30 days; specifications and benchmark collections after 90 days. Dates describe the recorded check, not a live retailer quote.
- Verified Checked against the primary source (for example the model’s config.json on Hugging Face).
- Sourced Taken from a cited source; not yet independently checked.
- Estimate Calculated with the published formulas; not a measurement.
- Sample Placeholder data for layout; not a real figure.
- Not yet measured No public, citable score found for this benchmark yet. We never fill the gap with a guess.
Verified metadata is not a measured performance result. Only cited runs matching model, device, quant and recorded context can replace speed estimates. Estimates assume one stream and F16 KV cache, with a ±25% uncertainty band. A published run applies only to its recorded runtime and conditions; missing settings are unknown.
- llama-2-7b · ryzen-ai-max-395-128g
llama.cpp (Vulkan) · Q4_0 · tg128
Recorded 2026-10-12 · historical source record · repeat count unknownSourced
Llama 2 7B Q4_0, llama-bench tg128, full GPU offload, flash attention off, single GPU. Community scoreboard entry; commit and submitter in the source table. Device reported as "AMD Ryzen AI Max+ 300 Series" (Radeon 8060S). Run source
Evidence labels · Freshness policy · Calculation methodology
128 GB of unified memory in a small box. Capacity for 100B-class MoE models; bandwidth limits dense models.
Decode-speed ceiling for a model is 256 GB/s ÷ GB read per token. For a 16.6 GB file that is 15 tok/s; real runtimes reach roughly 45% of it. Why bandwidth is the limit.
In builds: Strix Halo SFF 128 GB
See every model on this deviceSpecifications
Memory | 128 GBSourcedMax memory 128 GB, amd.com, checked 2026-10-12. Source |
|---|---|
Bandwidth | 256 GB/sSourced256-bit LPDDR5x-8000 per amd.com → 256 × 8000 MT/s ÷ 8 = 256 GB/s (derived from vendor figures). Source |
FP16 dense compute | 59 TFLOPSSampleSample FP16 dense compute; pending vendor-sheet citation. |
Vendor TDP / board power | 120 WSourcedTop of the 45–120 W configurable TDP range (55 W default), amd.com. Source |
Load power at wall | 120 WSourced120 W load is the brief's break-even assumption. Source: brief §7.3 |
Price, USD | $3,499.99SourcedUS$3,499.99 (CFG). Source |
Price, CAD | CA$4,995EstimateUSD price × 1.4271 (Bank of Canada USD/CAD, 2026-10-09); no Canadian retail listing captured. Source |
Models that run
Default quant, single stream, 8k context. Fastest first; estimates are ±25% until measured.
Model | Quant | Memory | Verdict | Decode, tok/s | Max context |
|---|---|---|---|---|---|
| gpt-oss-20b | MXFP4 | 12.9 GB | Fits | 50.3Estimate | 128k |
| Qwen3 30B-A3B | Q4_K_M | 19.9 GB | Fits | 41.0Estimate | 32k |
| gpt-oss-120b | MXFP4 | 64.3 GB | Fits | 37.5Estimate | 128k |
| Llama 3.1 8B Instruct | Q4_K_M | 6.6 GB | Fits | 19.2Estimate | 128k |
| Qwen3 8B | Q4_K_M | 6.8 GB | Fits | 18.5Estimate | 32k |
| Qwen3 14B | Q4_K_M | 10.9 GB | Fits | 11.1Estimate | 32k |
| Mistral Small 3.2 24B | Q4_K_M | 16.2 GB | Fits | 7.4Estimate | 128k |
| Gemma 3 27B IT | Q4_K_M | 18.2 GB | Fits | 6.5Estimate | 128k |
| Qwen3 32B | Q4_K_M | 22.5 GB | Fits | 5.3Estimate | 32k |
| Llama 3.3 70B Instruct | Q4_K_M | 45.8 GB | Fits | 2.5Estimate | 128k |
Published reference runs
Third-party llama.cpp measurements on this device, with conditions and source. Llama 2 7B Q4_0 runs are the community calibration test; they are not catalogue models.
Model | Quant | Date | Runtime · test | Decode, tok/s | Conditions |
|---|---|---|---|---|---|
| llama-2-7b | Q4_0 | 2026-10-12 | llama.cpp (Vulkan) · tg128 | 51.8Sourced | Llama 2 7B Q4_0, llama-bench tg128, full GPU offload, flash attention off, single GPU. Community scoreboard entry; commit and submitter in the source table. Device reported as "AMD Ryzen AI Max+ 300 Series" (Radeon 8060S). Source |