Framework Desktop (AMD Ryzen AI Max 300 Series)
Geekbench AI Score
6139
Single Precision Score
2266
Half Precision Score
8459
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | cgraff |
| Upload Date | October 15 2025 03:38 AM |
| Views | 2 |
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% |
4655
865.7 IPS |
|
|
Image Classification (HP)
|
100% |
653
121.5 IPS |
|
|
Image Classification (Q)
|
99% |
10929
2.04 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1518
24.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1052
17.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
8095
131.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
15350
17.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
11549
13.5 IPS |
|
|
Pose Estimation (Q)
|
94% |
49078
57.5 IPS |
|
|
Object Detection (SP)
|
100% |
4579
363.2 IPS |
|
|
Object Detection (HP)
|
100% |
902
71.5 IPS |
|
|
Object Detection (Q)
|
86% |
10505
844.3 IPS |
|
|
Face Detection (SP)
|
100% |
10957
130.2 IPS |
|
|
Face Detection (HP)
|
100% |
1880
22.3 IPS |
|
|
Face Detection (Q)
|
97% |
12070
143.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
15531
119.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
2953
22.8 IPS |
|
|
Depth Estimation (Q)
|
78% |
10846
86.6 IPS |
|
|
Style Transfer (SP)
|
100% |
29913
38.5 IPS |
|
|
Style Transfer (HP)
|
100% |
26076
33.5 IPS |
|
|
Style Transfer (Q)
|
98% |
50037
64.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3858
142.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3438
126.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4049
149.9 IPS |
|
|
Text Classification (SP)
|
100% |
2468
3.29 KIPS |
|
|
Text Classification (HP)
|
100% |
913
1.22 KIPS |
|
|
Text Classification (Q)
|
97% |
463
619.8 IPS |
|
|
Machine Translation (SP)
|
100% |
3159
54.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1102
19.0 IPS |
|
|
Machine Translation (Q)
|
65% |
3351
67.3 IPS |
