Micro-Star International Co., Ltd. MS-7C52
Geekbench AI Score
2855
Single Precision Score
1329
Half Precision Score
4267
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | November 13 2025 08:12 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% |
2351
437.2 IPS |
|
|
Image Classification (HP)
|
100% |
470
87.4 IPS |
|
|
Image Classification (Q)
|
96% |
4285
800.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1349
21.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
740
12.0 IPS |
|
|
Image Segmentation (Q)
|
97% |
2446
39.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
3817
4.45 IPS |
|
|
Pose Estimation (HP)
|
100% |
3329
3.88 IPS |
|
|
Pose Estimation (Q)
|
86% |
9901
11.7 IPS |
|
|
Object Detection (SP)
|
100% |
2257
179.0 IPS |
|
|
Object Detection (HP)
|
100% |
678
53.8 IPS |
|
|
Object Detection (Q)
|
58% |
2889
315.6 IPS |
|
|
Face Detection (SP)
|
100% |
3251
38.6 IPS |
|
|
Face Detection (HP)
|
100% |
1329
15.8 IPS |
|
|
Face Detection (Q)
|
96% |
6664
79.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
6370
49.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
2031
15.6 IPS |
|
|
Depth Estimation (Q)
|
78% |
8794
70.2 IPS |
|
|
Style Transfer (SP)
|
100% |
11183
14.4 IPS |
|
|
Style Transfer (HP)
|
100% |
9489
12.2 IPS |
|
|
Style Transfer (Q)
|
87% |
13284
17.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2093
77.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1775
65.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2482
92.0 IPS |
|
|
Text Classification (SP)
|
100% |
1440
1.92 KIPS |
|
|
Text Classification (HP)
|
100% |
747
997.0 IPS |
|
|
Text Classification (Q)
|
97% |
1546
2.07 KIPS |
|
|
Machine Translation (SP)
|
100% |
1892
32.6 IPS |
|
|
Machine Translation (HP)
|
100% |
649
11.2 IPS |
|
|
Machine Translation (Q)
|
68% |
2235
43.2 IPS |
