Micro-Star International Co., Ltd. MS-7C37
Geekbench AI Score
3673
Single Precision Score
1455
Half Precision Score
5286
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 22 2025 01:01 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 9 5900X |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Enterprise (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7C37 |
| Motherboard | Micro-Star International Co., Ltd. MPG X570 GAMING PLUS (MS-7C37) |
| Power Plan | Energiesparmodus |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 5900X |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 0 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3003
558.4 IPS |
|
|
Image Classification (HP)
|
100% |
497
92.4 IPS |
|
|
Image Classification (Q)
|
96% |
4667
871.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1801
29.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
700
11.3 IPS |
|
|
Image Segmentation (Q)
|
97% |
5584
90.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
5799
6.77 IPS |
|
|
Pose Estimation (HP)
|
100% |
4822
5.63 IPS |
|
|
Pose Estimation (Q)
|
86% |
11213
13.3 IPS |
|
|
Object Detection (SP)
|
100% |
2741
217.5 IPS |
|
|
Object Detection (HP)
|
100% |
628
49.8 IPS |
|
|
Object Detection (Q)
|
58% |
3460
378.1 IPS |
|
|
Face Detection (SP)
|
100% |
6280
74.6 IPS |
|
|
Face Detection (HP)
|
100% |
1384
16.4 IPS |
|
|
Face Detection (Q)
|
96% |
8228
98.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
7346
56.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
1960
15.1 IPS |
|
|
Depth Estimation (Q)
|
78% |
10397
83.0 IPS |
|
|
Style Transfer (SP)
|
100% |
14427
18.5 IPS |
|
|
Style Transfer (HP)
|
100% |
12145
15.6 IPS |
|
|
Style Transfer (Q)
|
87% |
17081
22.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2199
81.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1968
72.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3434
127.3 IPS |
|
|
Text Classification (SP)
|
100% |
1639
2.19 KIPS |
|
|
Text Classification (HP)
|
100% |
747
996.5 IPS |
|
|
Text Classification (Q)
|
97% |
1182
1.58 KIPS |
|
|
Machine Translation (SP)
|
100% |
2168
37.3 IPS |
|
|
Machine Translation (HP)
|
100% |
836
14.4 IPS |
|
|
Machine Translation (Q)
|
68% |
2843
54.9 IPS |
