AMD · unified x86
AMD Ryzen AI Max+ 395 (Radeon 8060S)
AMD Ryzen AI Max+ 395 (Radeon 8060S) has 32 GB of VRAM at 256 GB/s — about 22.32 GiB usable after driver and compositor overhead. 1881 of 2118 indexed models fit at 64K context with q8_0 KV. Note only 24 GB of its 32 GB is allocatable to the GPU.
Spec sheet· bandwidth, theoreticalFrom the file· fit from summed bytesPredicted· speed
Memory
32 GB
LPDDR5X-8000
Bandwidth
256 GB/s
256-bit bus
Tensor FP16
—
dense
TDP
120 W
text 1604vision language 173image 2audio tts 21audio asr 39video 16embedding 26
What fits at 64K context
largest quantization that fits, per model · 1881 of 2118 indexed
| Model | Best quant | Params | Weights● | KV● | Total in memory◐ | Headroom◐ | tok/s◐ |
|---|---|---|---|---|---|---|---|
| WhiteRabbitNeo-33B-v1 | Q3_K_M | 33.3B | 14.99 GiB | 8.23 GiB | 24.00 GiB | 0.00 GiB | 6±25% |
| Gemma-4-31B-Isometry-RP | I1-Q4_K_S | 32.7B | 17.28 GiB | 5.94 GiB | 24.00 GiB | 0.00 GiB | 6±25% |
| Gemma-4-Dark-Gemistry-31B | I1-Q4_K_S | 32.7B | 17.28 GiB | 5.94 GiB | 24.00 GiB | 0.00 GiB | 6±25% |
| Prosopon-31B | I1-Q4_K_S | 32.7B | 17.28 GiB | 5.94 GiB | 24.00 GiB | 0.00 GiB | 6±25% |
| Gemma-4-Novelist-Eclipse-31B | I1-Q4_K_S | 32.7B | 17.28 GiB | 5.94 GiB | 24.00 GiB | 0.00 GiB | 6±25% |
| Giftige-Blume-31B-v1-StyleSwap | I1-Q4_K_S | 32.7B | 17.28 GiB | 5.94 GiB | 24.00 GiB | 0.00 GiB | 6±25% |
| G4-MeroMero-31B-StyleSwap | I1-Q4_K_S | 32.7B | 17.28 GiB | 5.94 GiB | 24.00 GiB | 0.00 GiB | 6±25% |
| Gemma-4-31B-StyleTune-heretic-ara | I1-Q4_K_S | 32.7B | 17.28 GiB | 5.94 GiB | 24.00 GiB | 0.00 GiB | 6±25% |
| Pantheon-Reasoning-31B-1.1 | I1-Q4_K_S | 32.7B | 17.28 GiB | 5.94 GiB | 24.00 GiB | 0.00 GiB | 6±25% |
| Gemma-4-31B-StyleTune | I1-Q4_K_S | 32.7B | 17.28 GiB | 5.94 GiB | 24.00 GiB | 0.00 GiB | 6±25% |
| Barcenas-StyleTune-31B-Fable | I1-Q4_K_S | 32.1B | 17.28 GiB | 5.94 GiB | 24.00 GiB | 0.00 GiB | 6±25% |
| MN-GRAND-23.5B-Gutenberg-UNCENSORED-V2-GLM4.7-Thinking | I1-Q4_0 | 23.4B | 12.49 GiB | 10.76 GiB | 23.99 GiB | 0.01 GiB | 6±25% |
| deepseek-coder-33b-base | Q3_K_M | 33.3B | 14.97 GiB | 8.23 GiB | 23.98 GiB | 0.02 GiB | 6±25% |
| GLM-Z1-Rumination-32B-0414 | Q3_K_M | 33.1B | 15.07 GiB | 8.10 GiB | 23.96 GiB | 0.04 GiB | 6±25% |
| Open_Gpt4_8x7B_v0.1MoE | Q3_K_M | 46.7B | 18.97 GiB | 4.25 GiB | 23.95 GiB | 0.05 GiB | 8±37% |
| dolphin-2.7-mixtral-8x7bMoE | Q3_K_M | 46.7B | 18.96 GiB | 4.25 GiB | 23.95 GiB | 0.05 GiB | 8±37% |
| Mixtral-8x7B-MoE-RP-StoryMoE | Q3_K_M | 46.7B | 18.96 GiB | 4.25 GiB | 23.95 GiB | 0.05 GiB | 8±37% |
| v6-Finch-7B-HF | Q6_K | 7.6B | 6.19 GiB | 17.00 GiB | 23.93 GiB | 0.07 GiB | 6±25% |
| rwkv-6-world-7b | Q6_K | 7.6B | 6.19 GiB | 17.00 GiB | 23.93 GiB | 0.07 GiB | 6±25% |
| EXAONE-4.0-32B | Q5_K_S | 32.0B | 20.56 GiB | 2.57 GiB | 23.93 GiB | 0.07 GiB | 6±25% |
| Smilodon-9B-v1 | F16 | 10.2B | 17.22 GiB | 5.97 GiB | 23.93 GiB | 0.07 GiB | 6±25% |
| bella-bartender-v2 | F16 | 9.2B | 17.22 GiB | 5.97 GiB | 23.93 GiB | 0.07 GiB | 6±25% |
| Gemma-The-Writer-9B-HERETIC-Uncensored-Abliterated | F16 | 9.2B | 17.22 GiB | 5.97 GiB | 23.93 GiB | 0.07 GiB | 6±25% |
| Gemma-2-9B-It-SPPO-Iter3 | BF16 | 9.2B | 17.22 GiB | 5.97 GiB | 23.93 GiB | 0.07 GiB | 6±25% |
| G2-Darkest-Writer-Dirty-Shirley-9B-v2 | F16 | 9.2B | 17.22 GiB | 5.97 GiB | 23.93 GiB | 0.07 GiB | 6±25% |
| G2-Darkest-Writer-9B-v1 | F16 | 9.2B | 17.22 GiB | 5.97 GiB | 23.93 GiB | 0.07 GiB | 6±25% |
| Gemma-SEA-LION-v3-9B-IT | F16 | 9.2B | 17.22 GiB | 5.97 GiB | 23.93 GiB | 0.07 GiB | 6±25% |
| Tiger-Gemma-9B-v3 | F16 | 9.2B | 17.22 GiB | 5.97 GiB | 23.93 GiB | 0.07 GiB | 6±25% |
| gemma-2-9b-it | F16 | 9.2B | 17.22 GiB | 5.97 GiB | 23.93 GiB | 0.07 GiB | 6±25% |
| magnum-v4-9b | F16 | 9.2B | 17.22 GiB | 5.97 GiB | 23.93 GiB | 0.07 GiB | 6±25% |
| Fallen-Gemma3-27B-v1 | Q6_K_L | 27.4B | 20.96 GiB | 2.23 GiB | 23.93 GiB | 0.07 GiB | 6±25% |
| IQuest-Coder-V1-40B-Instruct | I1-IQ2_M | 39.8B | 12.50 GiB | 10.63 GiB | 23.92 GiB | 0.08 GiB | 6±25% |
| Skyfall-31B-v4.2 | IQ4_XS | 31.4B | 15.93 GiB | 7.17 GiB | 23.92 GiB | 0.08 GiB | 6±25% |
| Qwen3-Coder-NextMoE | UD-IQ1_S | 79.7B | 20.03 GiB | 3.19 GiB | 23.91 GiB | 0.09 GiB | 17±37% |
| Nemotron-Labs-Audex-30B-A3B | Q4_K_M | 32.0B | 23.16 GiB | 0.00 GiB | 23.90 GiB | 0.10 GiB | 6±25% |
| spoomplesmaxx-v2.1-30B | IQ4_XS | 28.9B | 14.59 GiB | 8.50 GiB | 23.90 GiB | 0.10 GiB | 6±25% |
| granite-4.1-30b-heretic | IQ4_XS | 28.9B | 14.59 GiB | 8.50 GiB | 23.90 GiB | 0.10 GiB | 6±25% |
| Skyfall-31B-v4.2-heretic | IQ4_XS | 31.4B | 15.89 GiB | 7.17 GiB | 23.88 GiB | 0.12 GiB | 6±25% |
| gemma-4-31B-it | Q4_0 | 31.3B | 17.16 GiB | 5.94 GiB | 23.88 GiB | 0.12 GiB | 6±25% |
| Darwin-35B-A3B-OpusMoE | Q5_K_S | 36.0B | 22.50 GiB | 0.66 GiB | 23.87 GiB | 0.13 GiB | 29±37% |
| Aurora-Code-1MoE | Q5_K_S | 34.7B | 22.50 GiB | 0.66 GiB | 23.87 GiB | 0.13 GiB | 29±37% |
| grug-35b-v2MoE | Q5_K_S | 35.1B | 22.50 GiB | 0.66 GiB | 23.87 GiB | 0.13 GiB | 29±37% |
| grug-35bMoE | Q5_K_S | 35.1B | 22.50 GiB | 0.66 GiB | 23.87 GiB | 0.13 GiB | 29±37% |
| WorldSim-Opus-3.6-35B-A3BMoE | Q5_K_S | 35.1B | 22.50 GiB | 0.66 GiB | 23.87 GiB | 0.13 GiB | 29±37% |
| Qwen3.6-35B-A3B-AnkoMoE | Q5_K_S | 35.1B | 22.50 GiB | 0.66 GiB | 23.87 GiB | 0.13 GiB | 29±37% |
| KAT-Coder-V2.5-DevMoE | Q5_K_S | 34.7B | 22.50 GiB | 0.66 GiB | 23.87 GiB | 0.13 GiB | 29±37% |
| Ornith-1.0-35BMoE | Q5_K_S | 34.7B | 22.50 GiB | 0.66 GiB | 23.87 GiB | 0.13 GiB | 29±37% |
| Nex-N2-miniMoE | Q5_K_S | 35.1B | 22.50 GiB | 0.66 GiB | 23.87 GiB | 0.13 GiB | 29±37% |
| TildeOpen-30B-Instruct-LV | I1-Q3_K_L | 30.7B | 15.11 GiB | 7.97 GiB | 23.86 GiB | 0.14 GiB | 6±25% |
| Qwen2.5-Coder-14B-Instruct | Q4_K_M | 14.8B | 16.74 GiB | 6.38 GiB | 23.86 GiB | 0.14 GiB | 6±25% |
| Nemotron-3-Nano-Omni-30B-A3B-Reasoning-BF16 | UD-Q5_K_S | 33.0B | 23.10 GiB | 0.00 GiB | 23.85 GiB | 0.15 GiB | 6±25% |
| OLMo-2-0325-32B | Q3_K_M | 32.2B | 14.53 GiB | 8.50 GiB | 23.83 GiB | 0.17 GiB | 6±25% |
| granite-34b-code-base-8k | I1-Q5_K_M | 33.7B | 23.05 GiB | 0.00 GiB | 23.83 GiB | 0.17 GiB | 6±25% |
| Rocinante-XL-16B-v1 | Q8_0 | 16.1B | 15.91 GiB | 7.17 GiB | 23.82 GiB | 0.18 GiB | 6±25% |
| Qwen3.5-40B-Claude-4.6-Opus-Deckard-Heretic-Uncensored-Thinking | IQ4_XS | 39.5B | 19.87 GiB | 3.19 GiB | 23.82 GiB | 0.18 GiB | 6±25% |
| Goetia-26B-A4B-v1.4MoE | I1-Q6_K | 26.0B | 21.65 GiB | 1.48 GiB | 23.82 GiB | 0.18 GiB | 6±25% |
| G4-Moonlight-Dusk-26B-A4B-hereticMoE | I1-Q6_K | 26.5B | 21.65 GiB | 1.48 GiB | 23.82 GiB | 0.18 GiB | 6±25% |
| Pantheon-Reasoning-26B-A4B-1.1-hereticMoE | I1-Q6_K | 26.5B | 21.65 GiB | 1.48 GiB | 23.82 GiB | 0.18 GiB | 6±25% |
| G4-Moonlight-Dusk-26B-A4BMoE | I1-Q6_K | 26.5B | 21.65 GiB | 1.48 GiB | 23.82 GiB | 0.18 GiB | 6±25% |
| Chimera-X-26B-A4BMoE | I1-Q6_K | 26.5B | 21.65 GiB | 1.48 GiB | 23.82 GiB | 0.18 GiB | 6±25% |
Speed is modeled, not measured: decode is memory-bandwidth bound, so tokens per second is bytes read per token against achievable bandwidth. Mixture-of-experts models carry a wider band because only the routed experts are read each step, and few have been measured publicly.
Questions people ask
- What AI models can a AMD Ryzen AI Max+ 395 (Radeon 8060S) run?
- 1881 of 2118 indexed open-weight models fit a AMD Ryzen AI Max+ 395 (Radeon 8060S) at 65,536 context with q8_0 KV cache, the largest being WhiteRabbitNeo-33B-v1 at Q3_K_M. That covers text, vision-language, image, video and speech models.
- How much usable memory does a AMD Ryzen AI Max+ 395 (Radeon 8060S) actually have?
- Its nameplate is 32 GB, but about 22.32 GiB is available to a model once driver and compositor overhead is accounted for, and only 24 GB of the pool can be allocated to the GPU at all.
- Is a AMD Ryzen AI Max+ 395 (Radeon 8060S) fast for local AI?
- Its memory bandwidth is 256 GB/s, and that figure — not teraflops — is what governs token generation speed. Capacity decides what you can run; bandwidth decides how fast it runs.