A520M-HDV
Geekbench AI Score
3171
Single Precision Score
1463
Half Precision Score
4823
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| Upload Date | January 17 2026 07:41 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 5 5600 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | A520M-HDV |
| Motherboard | ASRock A520M-HDV |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 5600 |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 |
| Base Frequency | 3.50 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2278
423.6 IPS |
|
|
Image Classification (HP)
|
100% |
583
108.5 IPS |
|
|
Image Classification (Q)
|
96% |
4006
748.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1760
28.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
781
12.7 IPS |
|
|
Image Segmentation (Q)
|
97% |
4841
78.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
4372
5.10 IPS |
|
|
Pose Estimation (HP)
|
100% |
3609
4.21 IPS |
|
|
Pose Estimation (Q)
|
86% |
9170
10.8 IPS |
|
|
Object Detection (SP)
|
100% |
2411
191.2 IPS |
|
|
Object Detection (HP)
|
100% |
757
60.0 IPS |
|
|
Object Detection (Q)
|
58% |
2980
325.6 IPS |
|
|
Face Detection (SP)
|
100% |
4386
52.1 IPS |
|
|
Face Detection (HP)
|
100% |
1443
17.1 IPS |
|
|
Face Detection (Q)
|
96% |
7247
86.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5723
44.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
1942
15.0 IPS |
|
|
Depth Estimation (Q)
|
78% |
8746
69.8 IPS |
|
|
Style Transfer (SP)
|
100% |
10678
13.7 IPS |
|
|
Style Transfer (HP)
|
100% |
8944
11.5 IPS |
|
|
Style Transfer (Q)
|
87% |
12744
16.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2181
80.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1727
63.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3460
128.2 IPS |
|
|
Text Classification (SP)
|
100% |
1744
2.33 KIPS |
|
|
Text Classification (HP)
|
100% |
917
1.22 KIPS |
|
|
Text Classification (Q)
|
97% |
1355
1.81 KIPS |
|
|
Machine Translation (SP)
|
100% |
2391
41.2 IPS |
|
|
Machine Translation (HP)
|
100% |
916
15.8 IPS |
|
|
Machine Translation (Q)
|
68% |
3399
65.7 IPS |
