Framework Desktop (AMD Ryzen AI Max 300 Series)
Geekbench AI Score
2848
Single Precision Score
2900
Half Precision Score
2498
Quantized Score
Geekbench AI 1.5.0 for Linux AVX2
Result Information
| Upload Date | December 07 2025 10:16 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | AMD Ryzen AI Max+ 395 |
| System Information | |
|---|---|
| Operating System | EndeavourOS |
| Model | Framework Desktop (AMD Ryzen AI Max 300 Series) |
| Motherboard | Framework FRANMFCP06 |
| 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 | 5.19 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 125.08 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1716
319.1 IPS |
|
|
Image Classification (HP)
|
100% |
1794
333.6 IPS |
|
|
Image Classification (Q)
|
99% |
1889
352.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
3115
50.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
3086
50.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
1681
27.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
4362
5.09 IPS |
|
|
Pose Estimation (HP)
|
100% |
4365
5.09 IPS |
|
|
Pose Estimation (Q)
|
96% |
6165
7.22 IPS |
|
|
Object Detection (SP)
|
100% |
2144
170.0 IPS |
|
|
Object Detection (HP)
|
100% |
2166
171.8 IPS |
|
|
Object Detection (Q)
|
85% |
2214
178.2 IPS |
|
|
Face Detection (SP)
|
100% |
3435
40.8 IPS |
|
|
Face Detection (HP)
|
100% |
3438
40.9 IPS |
|
|
Face Detection (Q)
|
97% |
3644
43.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
3120
24.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
3106
23.9 IPS |
|
|
Depth Estimation (Q)
|
63% |
3126
29.3 IPS |
|
|
Style Transfer (SP)
|
100% |
5626
7.23 IPS |
|
|
Style Transfer (HP)
|
100% |
5633
7.24 IPS |
|
|
Style Transfer (Q)
|
98% |
9883
12.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1949
72.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1982
73.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2647
98.1 IPS |
|
|
Text Classification (SP)
|
100% |
1622
2.17 KIPS |
|
|
Text Classification (HP)
|
100% |
1832
2.45 KIPS |
|
|
Text Classification (Q)
|
92% |
957
1.28 KIPS |
|
|
Machine Translation (SP)
|
100% |
3686
63.5 IPS |
|
|
Machine Translation (HP)
|
100% |
3689
63.5 IPS |
|
|
Machine Translation (Q)
|
58% |
766
18.0 IPS |
