Micro-Star International Co., Ltd. MS-7C52
Geekbench AI Score
3045
Single Precision Score
4007
Half Precision Score
2284
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | August 29 2025 10:03 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon(TM) Graphics |
| 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% |
1271
236.3 IPS |
|
|
Image Classification (HP)
|
100% |
1583
294.4 IPS |
|
|
Image Classification (Q)
|
100% |
1139
211.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1369
22.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1612
26.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
1162
18.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
11217
13.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
20231
23.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
9369
11.0 IPS |
|
|
Object Detection (SP)
|
100% |
1377
109.2 IPS |
|
|
Object Detection (HP)
|
100% |
1541
122.2 IPS |
|
|
Object Detection (Q)
|
88% |
1212
97.2 IPS |
|
|
Face Detection (SP)
|
100% |
3022
35.9 IPS |
|
|
Face Detection (HP)
|
100% |
4218
50.1 IPS |
|
|
Face Detection (Q)
|
97% |
2529
30.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
6578
50.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
9247
71.2 IPS |
|
|
Depth Estimation (Q)
|
77% |
5162
41.3 IPS |
|
|
Style Transfer (SP)
|
100% |
19252
24.7 IPS |
|
|
Style Transfer (HP)
|
100% |
31517
40.5 IPS |
|
|
Style Transfer (Q)
|
98% |
15463
19.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4119
152.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6167
227.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2787
103.2 IPS |
|
|
Text Classification (SP)
|
100% |
984
1.31 KIPS |
|
|
Text Classification (HP)
|
100% |
1043
1.39 KIPS |
|
|
Text Classification (Q)
|
97% |
627
840.6 IPS |
|
|
Machine Translation (SP)
|
100% |
1646
28.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1698
29.2 IPS |
|
|
Machine Translation (Q)
|
70% |
731
13.7 IPS |
