A520M Pro4
Geekbench AI Score
13969
Single Precision Score
23668
Half Precision Score
11209
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | mohnishi |
| Upload Date | October 20 2025 04:53 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA RTX 2000 Ada Generation |
| 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% |
5906
1.10 KIPS |
|
|
Image Classification (HP)
|
99% |
10391
1.94 KIPS |
|
|
Image Classification (Q)
|
99% |
5348
997.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
9119
147.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
12313
199.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
8421
136.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
66147
77.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
204376
238.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
57374
67.2 IPS |
|
|
Object Detection (SP)
|
100% |
7217
572.5 IPS |
|
|
Object Detection (HP)
|
100% |
11827
938.2 IPS |
|
|
Object Detection (Q)
|
84% |
6456
520.7 IPS |
|
|
Face Detection (SP)
|
100% |
16218
192.7 IPS |
|
|
Face Detection (HP)
|
100% |
26753
317.9 IPS |
|
|
Face Detection (Q)
|
97% |
14687
175.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
31701
244.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
62853
484.2 IPS |
|
|
Depth Estimation (Q)
|
77% |
26548
212.8 IPS |
|
|
Style Transfer (SP)
|
100% |
118080
151.8 IPS |
|
|
Style Transfer (HP)
|
100% |
294097
378.1 IPS |
|
|
Style Transfer (Q)
|
98% |
101849
131.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
23447
865.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
37921
1.40 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
17451
646.2 IPS |
|
|
Text Classification (SP)
|
100% |
2630
3.51 KIPS |
|
|
Text Classification (HP)
|
99% |
3037
4.05 KIPS |
|
|
Text Classification (Q)
|
97% |
1734
2.32 KIPS |
|
|
Machine Translation (SP)
|
100% |
2940
50.6 IPS |
|
|
Machine Translation (HP)
|
100% |
3132
54.0 IPS |
|
|
Machine Translation (Q)
|
70% |
1562
29.3 IPS |
