Micro-Star International Co., Ltd. MS-7C37
Geekbench AI Score
3091
Single Precision Score
1244
Half Precision Score
4214
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | craze173 |
| Upload Date | July 20 2025 05:02 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 9 5950X |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7C37 |
| Motherboard | Micro-Star International Co., Ltd. MPG X570 GAMING EDGE WIFI (MS-7C37) |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 5950X |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2419
449.9 IPS |
|
|
Image Classification (HP)
|
100% |
437
81.3 IPS |
|
|
Image Classification (Q)
|
96% |
4627
864.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1502
24.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
607
9.83 IPS |
|
|
Image Segmentation (Q)
|
97% |
4185
68.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
5883
6.86 IPS |
|
|
Pose Estimation (HP)
|
100% |
4857
5.67 IPS |
|
|
Pose Estimation (Q)
|
86% |
14987
17.7 IPS |
|
|
Object Detection (SP)
|
100% |
2348
186.3 IPS |
|
|
Object Detection (HP)
|
100% |
541
42.9 IPS |
|
|
Object Detection (Q)
|
58% |
2628
287.2 IPS |
|
|
Face Detection (SP)
|
100% |
5156
61.3 IPS |
|
|
Face Detection (HP)
|
100% |
1015
12.1 IPS |
|
|
Face Detection (Q)
|
96% |
6724
80.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
7043
54.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
1739
13.4 IPS |
|
|
Depth Estimation (Q)
|
78% |
10881
86.8 IPS |
|
|
Style Transfer (SP)
|
100% |
14069
18.1 IPS |
|
|
Style Transfer (HP)
|
100% |
11939
15.3 IPS |
|
|
Style Transfer (Q)
|
87% |
18352
23.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1846
68.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1604
59.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3053
113.1 IPS |
|
|
Text Classification (SP)
|
100% |
1105
1.47 KIPS |
|
|
Text Classification (HP)
|
100% |
539
719.0 IPS |
|
|
Text Classification (Q)
|
97% |
313
418.9 IPS |
|
|
Machine Translation (SP)
|
100% |
1524
26.3 IPS |
|
|
Machine Translation (HP)
|
100% |
700
12.1 IPS |
|
|
Machine Translation (Q)
|
68% |
1805
34.9 IPS |
