Framework Desktop (AMD Ryzen AI Max 300 Series)
Geekbench AI Score
2876
Single Precision Score
2881
Half Precision Score
2482
Quantized Score
Geekbench AI 1.5.0 for Linux AVX2
Result Information
| Upload Date | December 07 2025 10:37 AM |
| Views | 3 |
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% |
1877
349.0 IPS |
|
|
Image Classification (HP)
|
100% |
1811
336.9 IPS |
|
|
Image Classification (Q)
|
99% |
1844
343.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
3000
48.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
3009
48.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
1612
26.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
4399
5.13 IPS |
|
|
Pose Estimation (HP)
|
100% |
4379
5.11 IPS |
|
|
Pose Estimation (Q)
|
96% |
6197
7.26 IPS |
|
|
Object Detection (SP)
|
100% |
2148
170.4 IPS |
|
|
Object Detection (HP)
|
100% |
2117
167.9 IPS |
|
|
Object Detection (Q)
|
85% |
2176
175.1 IPS |
|
|
Face Detection (SP)
|
100% |
3409
40.5 IPS |
|
|
Face Detection (HP)
|
100% |
3489
41.5 IPS |
|
|
Face Detection (Q)
|
97% |
3687
44.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
3104
23.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
3109
24.0 IPS |
|
|
Depth Estimation (Q)
|
63% |
3055
28.6 IPS |
|
|
Style Transfer (SP)
|
100% |
5535
7.12 IPS |
|
|
Style Transfer (HP)
|
100% |
5519
7.09 IPS |
|
|
Style Transfer (Q)
|
98% |
9755
12.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2008
74.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1974
72.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2653
98.3 IPS |
|
|
Text Classification (SP)
|
100% |
1608
2.15 KIPS |
|
|
Text Classification (HP)
|
100% |
1768
2.36 KIPS |
|
|
Text Classification (Q)
|
92% |
945
1.27 KIPS |
|
|
Machine Translation (SP)
|
100% |
3858
66.5 IPS |
|
|
Machine Translation (HP)
|
100% |
3741
64.4 IPS |
|
|
Machine Translation (Q)
|
58% |
806
18.9 IPS |
