Framework Desktop (AMD Ryzen AI Max 300 Series)
Geekbench AI Score
5406
Single Precision Score
2038
Half Precision Score
9852
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | October 06 2025 05:56 PM |
| Views | 6 |
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% |
3822
710.9 IPS |
|
|
Image Classification (HP)
|
100% |
613
114.1 IPS |
|
|
Image Classification (Q)
|
99% |
10532
1.96 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1358
22.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
970
15.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
14507
235.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
13724
16.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
10806
12.6 IPS |
|
|
Pose Estimation (Q)
|
94% |
38736
45.4 IPS |
|
|
Object Detection (SP)
|
100% |
3832
304.0 IPS |
|
|
Object Detection (HP)
|
100% |
773
61.3 IPS |
|
|
Object Detection (Q)
|
86% |
11633
934.9 IPS |
|
|
Face Detection (SP)
|
100% |
9503
112.9 IPS |
|
|
Face Detection (HP)
|
100% |
1715
20.4 IPS |
|
|
Face Detection (Q)
|
97% |
11956
142.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
13599
104.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
2641
20.4 IPS |
|
|
Depth Estimation (Q)
|
78% |
10117
80.7 IPS |
|
|
Style Transfer (SP)
|
100% |
27328
35.1 IPS |
|
|
Style Transfer (HP)
|
100% |
22539
29.0 IPS |
|
|
Style Transfer (Q)
|
98% |
52557
67.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3506
129.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2998
110.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3694
136.8 IPS |
|
|
Text Classification (SP)
|
100% |
2355
3.14 KIPS |
|
|
Text Classification (HP)
|
100% |
861
1.15 KIPS |
|
|
Text Classification (Q)
|
97% |
1476
1.98 KIPS |
|
|
Machine Translation (SP)
|
100% |
2682
46.2 IPS |
|
|
Machine Translation (HP)
|
100% |
945
16.3 IPS |
|
|
Machine Translation (Q)
|
65% |
3611
72.6 IPS |
