Framework Desktop (AMD Ryzen AI Max 300 Series)
Geekbench AI Score
25859
Single Precision Score
32109
Half Precision Score
20291
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | cgraff |
| Upload Date | October 15 2025 03:40 AM |
| Views | 6 |
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% |
11467
2.13 KIPS |
|
|
Image Classification (HP)
|
100% |
13177
2.45 KIPS |
|
|
Image Classification (Q)
|
100% |
10773
2.00 KIPS |
|
|
Image Segmentation (SP)
|
100% |
22962
372.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
17329
280.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
19137
311.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
138528
161.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
211192
246.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
118180
138.4 IPS |
|
|
Object Detection (SP)
|
100% |
7179
569.4 IPS |
|
|
Object Detection (HP)
|
100% |
13179
1.05 KIPS |
|
|
Object Detection (Q)
|
87% |
7045
565.8 IPS |
|
|
Face Detection (SP)
|
100% |
30687
364.6 IPS |
|
|
Face Detection (HP)
|
100% |
43633
518.5 IPS |
|
|
Face Detection (Q)
|
97% |
25211
300.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
54938
423.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
67134
517.2 IPS |
|
|
Depth Estimation (Q)
|
77% |
45088
361.6 IPS |
|
|
Style Transfer (SP)
|
100% |
246805
317.3 IPS |
|
|
Style Transfer (HP)
|
100% |
375390
482.6 IPS |
|
|
Style Transfer (Q)
|
98% |
208705
269.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
41888
1.55 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
48183
1.78 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
31737
1.18 KIPS |
|
|
Text Classification (SP)
|
100% |
4184
5.58 KIPS |
|
|
Text Classification (HP)
|
100% |
4335
5.79 KIPS |
|
|
Text Classification (Q)
|
97% |
2776
3.72 KIPS |
|
|
Machine Translation (SP)
|
100% |
7002
120.6 IPS |
|
|
Machine Translation (HP)
|
100% |
7982
137.5 IPS |
|
|
Machine Translation (Q)
|
70% |
3299
61.9 IPS |
