Micro-Star International Co., Ltd. MS-7C37
Geekbench AI Score
5635
Single Precision Score
5442
Half Precision Score
6800
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | craze173 |
| Upload Date | July 20 2025 05:05 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 9 5950X 16-Core Processor |
| 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% |
3295
612.8 IPS |
|
|
Image Classification (HP)
|
100% |
3684
685.1 IPS |
|
|
Image Classification (Q)
|
100% |
4538
843.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
4848
78.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
4067
65.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
7624
123.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
9436
11.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
9301
10.9 IPS |
|
|
Pose Estimation (Q)
|
94% |
19911
23.4 IPS |
|
|
Object Detection (SP)
|
100% |
3704
293.8 IPS |
|
|
Object Detection (HP)
|
100% |
3659
290.2 IPS |
|
|
Object Detection (Q)
|
87% |
4544
364.4 IPS |
|
|
Face Detection (SP)
|
100% |
8829
104.9 IPS |
|
|
Face Detection (HP)
|
100% |
8430
100.2 IPS |
|
|
Face Detection (Q)
|
97% |
14745
175.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
9429
72.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
9226
71.1 IPS |
|
|
Depth Estimation (Q)
|
81% |
17342
136.7 IPS |
|
|
Style Transfer (SP)
|
100% |
23595
30.3 IPS |
|
|
Style Transfer (HP)
|
100% |
23492
30.2 IPS |
|
|
Style Transfer (Q)
|
98% |
56542
72.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5176
191.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5042
186.2 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
9545
353.6 IPS |
|
|
Text Classification (SP)
|
100% |
2525
3.37 KIPS |
|
|
Text Classification (HP)
|
100% |
2372
3.17 KIPS |
|
|
Text Classification (Q)
|
91% |
211
283.8 IPS |
|
|
Machine Translation (SP)
|
100% |
2253
38.8 IPS |
|
|
Machine Translation (HP)
|
100% |
2046
35.2 IPS |
|
|
Machine Translation (Q)
|
100% |
2322
40.0 IPS |
