Framework Desktop (AMD Ryzen AI Max 300 Series)
Geekbench AI Score
2968
Single Precision Score
2972
Half Precision Score
2521
Quantized Score
Geekbench AI 1.5.0 for Linux AVX2
Result Information
| User | steamydeck |
| Upload Date | December 19 2025 08:38 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | AMD Ryzen AI Max+ 395 |
| System Information | |
|---|---|
| Operating System | Bazzite |
| Model | Framework Desktop (AMD Ryzen AI Max 300 Series) |
| Motherboard | Framework FRANMFCP04 |
| CPU Information | |
|---|---|
| Name | AMD Ryzen AI Max+ 395 |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 26 Model 112 Stepping 0 |
| Base Frequency | 5.35 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 62.08 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1728
321.4 IPS |
|
|
Image Classification (HP)
|
100% |
1844
342.9 IPS |
|
|
Image Classification (Q)
|
99% |
1892
352.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
3022
49.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
3281
53.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
1714
27.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
4586
5.35 IPS |
|
|
Pose Estimation (HP)
|
100% |
4649
5.43 IPS |
|
|
Pose Estimation (Q)
|
96% |
6407
7.51 IPS |
|
|
Object Detection (SP)
|
100% |
2243
177.9 IPS |
|
|
Object Detection (HP)
|
100% |
2262
179.4 IPS |
|
|
Object Detection (Q)
|
85% |
2226
179.2 IPS |
|
|
Face Detection (SP)
|
100% |
3729
44.3 IPS |
|
|
Face Detection (HP)
|
100% |
3701
44.0 IPS |
|
|
Face Detection (Q)
|
97% |
3651
43.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
3140
24.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
3116
24.0 IPS |
|
|
Depth Estimation (Q)
|
63% |
3136
29.4 IPS |
|
|
Style Transfer (SP)
|
100% |
5759
7.40 IPS |
|
|
Style Transfer (HP)
|
100% |
5667
7.29 IPS |
|
|
Style Transfer (Q)
|
98% |
9793
12.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1999
73.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1964
72.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2618
97.0 IPS |
|
|
Text Classification (SP)
|
100% |
1805
2.41 KIPS |
|
|
Text Classification (HP)
|
100% |
1659
2.21 KIPS |
|
|
Text Classification (Q)
|
92% |
969
1.30 KIPS |
|
|
Machine Translation (SP)
|
100% |
4070
70.1 IPS |
|
|
Machine Translation (HP)
|
100% |
3976
68.5 IPS |
|
|
Machine Translation (Q)
|
58% |
791
18.6 IPS |
