Micro-Star International Co., Ltd. MS-7C52
Geekbench AI Score
2899
Single Precision Score
1359
Half Precision Score
4185
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | August 29 2025 09:37 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 5 5600GT |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7C52 |
| Motherboard | Micro-Star International Co., Ltd. B450M-A PRO MAX II (MS-7C52) |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 5600GT |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 80 Stepping 0 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2309
429.3 IPS |
|
|
Image Classification (HP)
|
100% |
530
98.6 IPS |
|
|
Image Classification (Q)
|
96% |
4099
765.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1266
20.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
750
12.2 IPS |
|
|
Image Segmentation (Q)
|
97% |
2344
38.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
4715
5.50 IPS |
|
|
Pose Estimation (HP)
|
100% |
3868
4.51 IPS |
|
|
Pose Estimation (Q)
|
86% |
9633
11.4 IPS |
|
|
Object Detection (SP)
|
100% |
2228
176.8 IPS |
|
|
Object Detection (HP)
|
100% |
669
53.1 IPS |
|
|
Object Detection (Q)
|
58% |
2714
296.5 IPS |
|
|
Face Detection (SP)
|
100% |
3346
39.8 IPS |
|
|
Face Detection (HP)
|
100% |
1327
15.8 IPS |
|
|
Face Detection (Q)
|
96% |
6645
79.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
6414
49.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
2043
15.7 IPS |
|
|
Depth Estimation (Q)
|
78% |
8693
69.4 IPS |
|
|
Style Transfer (SP)
|
100% |
11207
14.4 IPS |
|
|
Style Transfer (HP)
|
100% |
9468
12.2 IPS |
|
|
Style Transfer (Q)
|
87% |
13295
17.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2097
77.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1734
64.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2477
91.8 IPS |
|
|
Text Classification (SP)
|
100% |
1420
1.89 KIPS |
|
|
Text Classification (HP)
|
100% |
737
984.0 IPS |
|
|
Text Classification (Q)
|
97% |
1529
2.05 KIPS |
|
|
Machine Translation (SP)
|
100% |
1910
32.9 IPS |
|
|
Machine Translation (HP)
|
100% |
641
11.0 IPS |
|
|
Machine Translation (Q)
|
68% |
2256
43.6 IPS |
