Framework Desktop (AMD Ryzen AI Max 300 Series)
Geekbench AI Score
2979
Single Precision Score
2886
Half Precision Score
2516
Quantized Score
Geekbench AI 1.5.0 for Linux AVX2
Result Information
| User | steamydeck |
| Upload Date | December 19 2025 08:43 PM |
| Views | 4 |
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% |
1790
332.9 IPS |
|
|
Image Classification (HP)
|
100% |
1794
333.7 IPS |
|
|
Image Classification (Q)
|
99% |
1914
357.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
3244
52.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
3129
50.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
1678
27.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
4576
5.34 IPS |
|
|
Pose Estimation (HP)
|
100% |
4488
5.24 IPS |
|
|
Pose Estimation (Q)
|
96% |
6364
7.46 IPS |
|
|
Object Detection (SP)
|
100% |
2196
174.2 IPS |
|
|
Object Detection (HP)
|
100% |
2237
177.4 IPS |
|
|
Object Detection (Q)
|
85% |
2204
177.4 IPS |
|
|
Face Detection (SP)
|
100% |
3672
43.6 IPS |
|
|
Face Detection (HP)
|
100% |
3607
42.9 IPS |
|
|
Face Detection (Q)
|
97% |
3633
43.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
3114
24.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
3133
24.1 IPS |
|
|
Depth Estimation (Q)
|
63% |
3119
29.2 IPS |
|
|
Style Transfer (SP)
|
100% |
5847
7.52 IPS |
|
|
Style Transfer (HP)
|
100% |
5856
7.53 IPS |
|
|
Style Transfer (Q)
|
98% |
9822
12.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1980
73.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1976
73.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2660
98.6 IPS |
|
|
Text Classification (SP)
|
100% |
1778
2.37 KIPS |
|
|
Text Classification (HP)
|
100% |
1424
1.90 KIPS |
|
|
Text Classification (Q)
|
92% |
960
1.29 KIPS |
|
|
Machine Translation (SP)
|
100% |
4016
69.2 IPS |
|
|
Machine Translation (HP)
|
100% |
3821
65.8 IPS |
|
|
Machine Translation (Q)
|
58% |
794
18.6 IPS |
