Micro-Star International Co., Ltd. MS-7C52
Geekbench AI Score
3188
Single Precision Score
4555
Half Precision Score
2341
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | Cifra45 |
| Upload Date | May 06 2025 08:06 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon(TM) Graphics |
| System Information | |
|---|---|
| Operating System | Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7C52 |
| Motherboard | Micro-Star International Co., Ltd. B450M-A PRO MAX (MS-7C52) |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 5700G |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 80 Stepping 0 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1210
225.1 IPS |
|
|
Image Classification (HP)
|
100% |
1779
330.8 IPS |
|
|
Image Classification (Q)
|
100% |
1097
204.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1392
22.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1799
29.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
1171
19.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
13172
15.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
23812
27.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
10335
12.1 IPS |
|
|
Object Detection (SP)
|
100% |
1303
103.4 IPS |
|
|
Object Detection (HP)
|
100% |
1811
143.7 IPS |
|
|
Object Detection (Q)
|
88% |
1171
93.9 IPS |
|
|
Face Detection (SP)
|
100% |
2818
33.5 IPS |
|
|
Face Detection (HP)
|
100% |
4273
50.8 IPS |
|
|
Face Detection (Q)
|
97% |
2332
27.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
7308
56.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
10986
84.6 IPS |
|
|
Depth Estimation (Q)
|
77% |
5493
43.9 IPS |
|
|
Style Transfer (SP)
|
100% |
22503
28.9 IPS |
|
|
Style Transfer (HP)
|
100% |
37551
48.3 IPS |
|
|
Style Transfer (Q)
|
98% |
16816
21.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4485
165.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6995
258.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2897
107.3 IPS |
|
|
Text Classification (SP)
|
100% |
1034
1.38 KIPS |
|
|
Text Classification (HP)
|
100% |
1122
1.50 KIPS |
|
|
Text Classification (Q)
|
97% |
697
934.4 IPS |
|
|
Machine Translation (SP)
|
100% |
1746
30.1 IPS |
|
|
Machine Translation (HP)
|
100% |
2014
34.7 IPS |
|
|
Machine Translation (Q)
|
70% |
733
13.7 IPS |
