A520M Pro4
Geekbench AI Score
4405
Single Precision Score
1808
Half Precision Score
4497
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | mohnishi |
| Upload Date | October 20 2025 04:44 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 5700X3D |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | A520M Pro4 |
| Motherboard | ASRock A520M Pro4 |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 5700X3D |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 |
| Base Frequency | 3.00 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3413
634.6 IPS |
|
|
Image Classification (HP)
|
100% |
669
124.4 IPS |
|
|
Image Classification (Q)
|
96% |
4846
905.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2177
35.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
904
14.7 IPS |
|
|
Image Segmentation (Q)
|
97% |
3516
57.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
6401
7.47 IPS |
|
|
Pose Estimation (HP)
|
100% |
5284
6.17 IPS |
|
|
Pose Estimation (Q)
|
86% |
12011
14.2 IPS |
|
|
Object Detection (SP)
|
100% |
3243
257.2 IPS |
|
|
Object Detection (HP)
|
100% |
867
68.7 IPS |
|
|
Object Detection (Q)
|
58% |
2707
295.8 IPS |
|
|
Face Detection (SP)
|
100% |
8183
97.2 IPS |
|
|
Face Detection (HP)
|
100% |
1971
23.4 IPS |
|
|
Face Detection (Q)
|
96% |
8079
96.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8783
67.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
2455
18.9 IPS |
|
|
Depth Estimation (Q)
|
78% |
11985
95.6 IPS |
|
|
Style Transfer (SP)
|
100% |
16027
20.6 IPS |
|
|
Style Transfer (HP)
|
100% |
13078
16.8 IPS |
|
|
Style Transfer (Q)
|
87% |
14795
19.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2806
103.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2429
89.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4205
155.8 IPS |
|
|
Text Classification (SP)
|
100% |
1916
2.56 KIPS |
|
|
Text Classification (HP)
|
100% |
927
1.24 KIPS |
|
|
Text Classification (Q)
|
97% |
384
514.0 IPS |
|
|
Machine Translation (SP)
|
100% |
2886
49.7 IPS |
|
|
Machine Translation (HP)
|
100% |
947
16.3 IPS |
|
|
Machine Translation (Q)
|
68% |
2643
51.1 IPS |
