Framework Desktop (AMD Ryzen AI Max 300 Series)
Geekbench AI Score
6002
Single Precision Score
2285
Half Precision Score
11052
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 13 2025 08:14 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen AI Max+ 395 |
| 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% |
4429
823.6 IPS |
|
|
Image Classification (HP)
|
100% |
755
140.3 IPS |
|
|
Image Classification (Q)
|
99% |
11565
2.16 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1217
19.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1054
17.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
15407
250.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
15027
17.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
11564
13.5 IPS |
|
|
Pose Estimation (Q)
|
94% |
48459
56.8 IPS |
|
|
Object Detection (SP)
|
100% |
4989
395.8 IPS |
|
|
Object Detection (HP)
|
100% |
891
70.7 IPS |
|
|
Object Detection (Q)
|
86% |
13014
1.05 KIPS |
|
|
Face Detection (SP)
|
100% |
11961
142.1 IPS |
|
|
Face Detection (HP)
|
100% |
1878
22.3 IPS |
|
|
Face Detection (Q)
|
97% |
13161
156.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
14996
115.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
2970
22.9 IPS |
|
|
Depth Estimation (Q)
|
78% |
10783
86.0 IPS |
|
|
Style Transfer (SP)
|
100% |
29509
37.9 IPS |
|
|
Style Transfer (HP)
|
100% |
25586
32.9 IPS |
|
|
Style Transfer (Q)
|
98% |
54312
70.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4159
153.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3030
111.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4615
170.9 IPS |
|
|
Text Classification (SP)
|
100% |
2401
3.21 KIPS |
|
|
Text Classification (HP)
|
100% |
982
1.31 KIPS |
|
|
Text Classification (Q)
|
97% |
1642
2.20 KIPS |
|
|
Machine Translation (SP)
|
100% |
2844
49.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1119
19.3 IPS |
|
|
Machine Translation (Q)
|
65% |
4146
83.3 IPS |
