Gigabyte Technology Co., Ltd. A520M H
Geekbench AI Score
3141
Single Precision Score
1418
Half Precision Score
4884
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | July 01 2025 10:03 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 5 5600 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. A520M H |
| Motherboard | Gigabyte Technology Co., Ltd. A520M H |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 5600 |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 |
| Base Frequency | 3.49 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2456
456.7 IPS |
|
|
Image Classification (HP)
|
100% |
536
99.7 IPS |
|
|
Image Classification (Q)
|
96% |
4230
790.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1806
29.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
776
12.6 IPS |
|
|
Image Segmentation (Q)
|
97% |
4840
78.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
4174
4.87 IPS |
|
|
Pose Estimation (HP)
|
100% |
3630
4.24 IPS |
|
|
Pose Estimation (Q)
|
86% |
9589
11.3 IPS |
|
|
Object Detection (SP)
|
100% |
2379
188.7 IPS |
|
|
Object Detection (HP)
|
100% |
752
59.6 IPS |
|
|
Object Detection (Q)
|
58% |
2963
323.8 IPS |
|
|
Face Detection (SP)
|
100% |
4680
55.6 IPS |
|
|
Face Detection (HP)
|
100% |
1404
16.7 IPS |
|
|
Face Detection (Q)
|
96% |
7201
85.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5516
42.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
1672
12.9 IPS |
|
|
Depth Estimation (Q)
|
78% |
7779
62.1 IPS |
|
|
Style Transfer (SP)
|
100% |
8381
10.8 IPS |
|
|
Style Transfer (HP)
|
100% |
8136
10.5 IPS |
|
|
Style Transfer (Q)
|
87% |
13115
17.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2162
79.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1715
63.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3594
133.2 IPS |
|
|
Text Classification (SP)
|
100% |
1833
2.45 KIPS |
|
|
Text Classification (HP)
|
100% |
928
1.24 KIPS |
|
|
Text Classification (Q)
|
97% |
1450
1.94 KIPS |
|
|
Machine Translation (SP)
|
100% |
2476
42.7 IPS |
|
|
Machine Translation (HP)
|
100% |
957
16.5 IPS |
|
|
Machine Translation (Q)
|
68% |
3471
67.1 IPS |
