Micro-Star International Co., Ltd. MS-7C52
Geekbench AI Score
2915
Single Precision Score
1360
Half Precision Score
4209
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | August 29 2025 09:56 AM |
| Views | 4 |
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% |
2413
448.8 IPS |
|
|
Image Classification (HP)
|
100% |
527
98.1 IPS |
|
|
Image Classification (Q)
|
96% |
4054
757.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1294
21.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
744
12.1 IPS |
|
|
Image Segmentation (Q)
|
97% |
2395
39.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
4789
5.59 IPS |
|
|
Pose Estimation (HP)
|
100% |
3844
4.49 IPS |
|
|
Pose Estimation (Q)
|
86% |
9778
11.6 IPS |
|
|
Object Detection (SP)
|
100% |
2231
177.0 IPS |
|
|
Object Detection (HP)
|
100% |
672
53.3 IPS |
|
|
Object Detection (Q)
|
58% |
2752
300.7 IPS |
|
|
Face Detection (SP)
|
100% |
3334
39.6 IPS |
|
|
Face Detection (HP)
|
100% |
1321
15.7 IPS |
|
|
Face Detection (Q)
|
96% |
6564
78.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
6332
48.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
2028
15.6 IPS |
|
|
Depth Estimation (Q)
|
78% |
8763
69.9 IPS |
|
|
Style Transfer (SP)
|
100% |
11239
14.4 IPS |
|
|
Style Transfer (HP)
|
100% |
9524
12.2 IPS |
|
|
Style Transfer (Q)
|
87% |
13332
17.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2060
76.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1783
65.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2491
92.3 IPS |
|
|
Text Classification (SP)
|
100% |
1427
1.90 KIPS |
|
|
Text Classification (HP)
|
100% |
737
984.3 IPS |
|
|
Text Classification (Q)
|
97% |
1529
2.05 KIPS |
|
|
Machine Translation (SP)
|
100% |
1908
32.9 IPS |
|
|
Machine Translation (HP)
|
100% |
639
11.0 IPS |
|
|
Machine Translation (Q)
|
68% |
2290
44.2 IPS |
