Gigabyte Technology Co., Ltd. A520M S2H
Geekbench AI Score
3211
Single Precision Score
3224
Half Precision Score
5099
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | sobakhsh |
| Upload Date | December 16 2025 05:07 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 5 5600X 6-Core Processor |
| 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 | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 5600X |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2090
388.8 IPS |
|
|
Image Classification (HP)
|
100% |
2098
390.2 IPS |
|
|
Image Classification (Q)
|
100% |
3564
662.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2312
37.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2041
33.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3340
54.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
3957
4.62 IPS |
|
|
Pose Estimation (HP)
|
100% |
3920
4.57 IPS |
|
|
Pose Estimation (Q)
|
94% |
8528
10.0 IPS |
|
|
Object Detection (SP)
|
100% |
1872
148.5 IPS |
|
|
Object Detection (HP)
|
100% |
1950
154.7 IPS |
|
|
Object Detection (Q)
|
87% |
3718
298.2 IPS |
|
|
Face Detection (SP)
|
100% |
4459
53.0 IPS |
|
|
Face Detection (HP)
|
100% |
4174
49.6 IPS |
|
|
Face Detection (Q)
|
97% |
10190
121.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5162
39.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
4991
38.4 IPS |
|
|
Depth Estimation (Q)
|
81% |
9003
71.0 IPS |
|
|
Style Transfer (SP)
|
100% |
10751
13.8 IPS |
|
|
Style Transfer (HP)
|
100% |
11363
14.6 IPS |
|
|
Style Transfer (Q)
|
98% |
23783
30.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2092
77.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2216
81.8 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
4895
181.3 IPS |
|
|
Text Classification (SP)
|
100% |
2235
2.98 KIPS |
|
|
Text Classification (HP)
|
100% |
2265
3.02 KIPS |
|
|
Text Classification (Q)
|
91% |
920
1.24 KIPS |
|
|
Machine Translation (SP)
|
100% |
2820
48.6 IPS |
|
|
Machine Translation (HP)
|
100% |
3120
53.7 IPS |
|
|
Machine Translation (Q)
|
100% |
3207
55.3 IPS |
