Framework Desktop (AMD Ryzen AI Max 300 Series)
Geekbench AI Score
25726
Single Precision Score
32053
Half Precision Score
20241
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | October 06 2025 05:58 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon(TM) Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Framework Desktop (AMD Ryzen AI Max 300 Series) |
| Motherboard | Framework FRANMFCP06 |
| Power Plan | Balanced |
| 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 | 3.00 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
11686
2.17 KIPS |
|
|
Image Classification (HP)
|
100% |
12881
2.40 KIPS |
|
|
Image Classification (Q)
|
100% |
10723
1.99 KIPS |
|
|
Image Segmentation (SP)
|
100% |
22147
359.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
17309
280.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
18716
304.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
138236
161.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
213439
249.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
116713
136.7 IPS |
|
|
Object Detection (SP)
|
100% |
7188
570.1 IPS |
|
|
Object Detection (HP)
|
100% |
13451
1.07 KIPS |
|
|
Object Detection (Q)
|
87% |
7116
571.5 IPS |
|
|
Face Detection (SP)
|
100% |
30578
363.3 IPS |
|
|
Face Detection (HP)
|
100% |
44347
526.9 IPS |
|
|
Face Detection (Q)
|
97% |
25426
303.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
55122
424.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
67924
523.3 IPS |
|
|
Depth Estimation (Q)
|
77% |
45906
368.1 IPS |
|
|
Style Transfer (SP)
|
100% |
248441
319.4 IPS |
|
|
Style Transfer (HP)
|
100% |
378291
486.3 IPS |
|
|
Style Transfer (Q)
|
98% |
208209
268.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
41643
1.54 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
48594
1.79 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
31262
1.16 KIPS |
|
|
Text Classification (SP)
|
100% |
4029
5.38 KIPS |
|
|
Text Classification (HP)
|
100% |
4099
5.47 KIPS |
|
|
Text Classification (Q)
|
97% |
2749
3.68 KIPS |
|
|
Machine Translation (SP)
|
100% |
7028
121.1 IPS |
|
|
Machine Translation (HP)
|
100% |
7879
135.7 IPS |
|
|
Machine Translation (Q)
|
70% |
3317
62.2 IPS |
