Framework Desktop (AMD Ryzen AI Max 300 Series)
Geekbench AI Score
2985
Single Precision Score
2910
Half Precision Score
2499
Quantized Score
Geekbench AI 1.5.0 for Linux AVX2
Result Information
| User | steamydeck |
| Upload Date | December 22 2025 02:45 PM |
| Views | 3 |
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% |
1781
331.2 IPS |
|
|
Image Classification (HP)
|
100% |
1799
334.5 IPS |
|
|
Image Classification (Q)
|
99% |
1881
350.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
3215
52.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
3061
49.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
1624
26.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
4599
5.37 IPS |
|
|
Pose Estimation (HP)
|
100% |
4631
5.40 IPS |
|
|
Pose Estimation (Q)
|
96% |
6342
7.43 IPS |
|
|
Object Detection (SP)
|
100% |
2208
175.1 IPS |
|
|
Object Detection (HP)
|
100% |
2240
177.7 IPS |
|
|
Object Detection (Q)
|
85% |
2146
172.7 IPS |
|
|
Face Detection (SP)
|
100% |
3501
41.6 IPS |
|
|
Face Detection (HP)
|
100% |
3765
44.7 IPS |
|
|
Face Detection (Q)
|
97% |
3680
43.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
3267
25.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
3175
24.5 IPS |
|
|
Depth Estimation (Q)
|
63% |
3130
29.3 IPS |
|
|
Style Transfer (SP)
|
100% |
5695
7.32 IPS |
|
|
Style Transfer (HP)
|
100% |
5789
7.44 IPS |
|
|
Style Transfer (Q)
|
98% |
9864
12.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2015
74.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1983
73.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2636
97.7 IPS |
|
|
Text Classification (SP)
|
100% |
1771
2.36 KIPS |
|
|
Text Classification (HP)
|
100% |
1467
1.96 KIPS |
|
|
Text Classification (Q)
|
92% |
973
1.31 KIPS |
|
|
Machine Translation (SP)
|
100% |
4164
71.7 IPS |
|
|
Machine Translation (HP)
|
100% |
3796
65.4 IPS |
|
|
Machine Translation (Q)
|
58% |
787
18.5 IPS |
