Micro-Star International Co., Ltd. MS-7C52
Geekbench AI Score
2875
Single Precision Score
1391
Half Precision Score
3927
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | January 16 2026 07:33 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 5 5600F 6-Core Processor |
| 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 5600F 6-Core Processor |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 |
| Base Frequency | 3.00 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2566
477.2 IPS |
|
|
Image Classification (HP)
|
100% |
537
99.9 IPS |
|
|
Image Classification (Q)
|
96% |
2727
509.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1002
16.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
764
12.4 IPS |
|
|
Image Segmentation (Q)
|
97% |
2287
37.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
4417
5.15 IPS |
|
|
Pose Estimation (HP)
|
100% |
3874
4.52 IPS |
|
|
Pose Estimation (Q)
|
86% |
9054
10.7 IPS |
|
|
Object Detection (SP)
|
100% |
2337
185.4 IPS |
|
|
Object Detection (HP)
|
100% |
713
56.5 IPS |
|
|
Object Detection (Q)
|
58% |
2764
302.0 IPS |
|
|
Face Detection (SP)
|
100% |
3292
39.1 IPS |
|
|
Face Detection (HP)
|
100% |
1274
15.1 IPS |
|
|
Face Detection (Q)
|
96% |
6566
78.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5911
45.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
1967
15.2 IPS |
|
|
Depth Estimation (Q)
|
78% |
8204
65.5 IPS |
|
|
Style Transfer (SP)
|
100% |
11097
14.3 IPS |
|
|
Style Transfer (HP)
|
100% |
9844
12.7 IPS |
|
|
Style Transfer (Q)
|
87% |
9754
12.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2275
84.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1958
72.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2752
102.0 IPS |
|
|
Text Classification (SP)
|
100% |
1433
1.91 KIPS |
|
|
Text Classification (HP)
|
100% |
725
968.1 IPS |
|
|
Text Classification (Q)
|
97% |
1407
1.89 KIPS |
|
|
Machine Translation (SP)
|
100% |
2071
35.7 IPS |
|
|
Machine Translation (HP)
|
100% |
685
11.8 IPS |
|
|
Machine Translation (Q)
|
68% |
2747
53.1 IPS |
