Gigabyte Technology Co., Ltd. A520M S2H
Geekbench AI Score
2271
Single Precision Score
1020
Half Precision Score
2519
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | nwisecup |
| Upload Date | January 13 2025 12:32 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 5 3600 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. A520M S2H |
| Motherboard | Gigabyte Technology Co., Ltd. A520M S2H |
| Power Plan | AMD Ryzen Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 3600 |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 23 Model 113 Stepping 0 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1657
308.2 IPS |
|
|
Image Classification (HP)
|
100% |
389
72.3 IPS |
|
|
Image Classification (Q)
|
96% |
2200
410.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
843
13.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
405
6.56 IPS |
|
|
Image Segmentation (Q)
|
97% |
1488
24.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
4162
4.86 IPS |
|
|
Pose Estimation (HP)
|
100% |
3463
4.04 IPS |
|
|
Pose Estimation (Q)
|
86% |
4476
5.29 IPS |
|
|
Object Detection (SP)
|
100% |
1635
129.7 IPS |
|
|
Object Detection (HP)
|
100% |
494
39.2 IPS |
|
|
Object Detection (Q)
|
58% |
1530
167.2 IPS |
|
|
Face Detection (SP)
|
100% |
3286
39.0 IPS |
|
|
Face Detection (HP)
|
100% |
1094
13.0 IPS |
|
|
Face Detection (Q)
|
96% |
4679
55.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5464
42.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
1582
12.2 IPS |
|
|
Depth Estimation (Q)
|
78% |
4976
39.7 IPS |
|
|
Style Transfer (SP)
|
100% |
10060
12.9 IPS |
|
|
Style Transfer (HP)
|
100% |
8095
10.4 IPS |
|
|
Style Transfer (Q)
|
87% |
8772
11.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1551
57.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1390
51.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1459
54.1 IPS |
|
|
Text Classification (SP)
|
100% |
981
1.31 KIPS |
|
|
Text Classification (HP)
|
100% |
453
604.4 IPS |
|
|
Text Classification (Q)
|
97% |
862
1.15 KIPS |
|
|
Machine Translation (SP)
|
100% |
1402
24.2 IPS |
|
|
Machine Translation (HP)
|
100% |
516
8.90 IPS |
|
|
Machine Translation (Q)
|
68% |
1789
34.6 IPS |
