Micro-Star International Co., Ltd. MS-7C52
Geekbench AI Score
2983
Single Precision Score
3937
Half Precision Score
2257
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | November 13 2025 08:16 AM |
| Views | 2 |
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% |
1172
217.9 IPS |
|
|
Image Classification (HP)
|
100% |
1492
277.5 IPS |
|
|
Image Classification (Q)
|
100% |
1071
199.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1360
22.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1606
26.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
1158
18.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
11190
13.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
20147
23.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
9352
11.0 IPS |
|
|
Object Detection (SP)
|
100% |
1353
107.3 IPS |
|
|
Object Detection (HP)
|
100% |
1537
121.9 IPS |
|
|
Object Detection (Q)
|
88% |
1202
96.3 IPS |
|
|
Face Detection (SP)
|
100% |
3000
35.6 IPS |
|
|
Face Detection (HP)
|
100% |
4158
49.4 IPS |
|
|
Face Detection (Q)
|
97% |
2523
30.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
6529
50.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
9180
70.7 IPS |
|
|
Depth Estimation (Q)
|
77% |
5113
40.9 IPS |
|
|
Style Transfer (SP)
|
100% |
19248
24.7 IPS |
|
|
Style Transfer (HP)
|
100% |
31550
40.6 IPS |
|
|
Style Transfer (Q)
|
98% |
15501
20.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3987
147.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6093
225.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2760
102.2 IPS |
|
|
Text Classification (SP)
|
100% |
992
1.32 KIPS |
|
|
Text Classification (HP)
|
100% |
1035
1.38 KIPS |
|
|
Text Classification (Q)
|
97% |
629
842.9 IPS |
|
|
Machine Translation (SP)
|
100% |
1552
26.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1589
27.4 IPS |
|
|
Machine Translation (Q)
|
70% |
711
13.3 IPS |
