Micro-Star International Co., Ltd. MS-7C37
Geekbench AI Score
3414
Single Precision Score
1434
Half Precision Score
5031
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 20 2025 01:31 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 5700X |
| System Information | |
|---|---|
| Operating System | Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7C37 |
| Motherboard | Micro-Star International Co., Ltd. MPG X570 GAMING PLUS (MS-7C37) |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 5700X |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 0 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2915
542.2 IPS |
|
|
Image Classification (HP)
|
100% |
583
108.5 IPS |
|
|
Image Classification (Q)
|
96% |
4926
919.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1749
28.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
733
11.9 IPS |
|
|
Image Segmentation (Q)
|
97% |
2708
44.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
5191
6.06 IPS |
|
|
Pose Estimation (HP)
|
100% |
4111
4.80 IPS |
|
|
Pose Estimation (Q)
|
86% |
10862
12.8 IPS |
|
|
Object Detection (SP)
|
100% |
2459
195.1 IPS |
|
|
Object Detection (HP)
|
100% |
701
55.6 IPS |
|
|
Object Detection (Q)
|
58% |
3431
374.9 IPS |
|
|
Face Detection (SP)
|
100% |
4924
58.5 IPS |
|
|
Face Detection (HP)
|
100% |
1512
18.0 IPS |
|
|
Face Detection (Q)
|
96% |
8527
101.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
6791
52.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
2015
15.5 IPS |
|
|
Depth Estimation (Q)
|
78% |
10487
83.7 IPS |
|
|
Style Transfer (SP)
|
100% |
13044
16.8 IPS |
|
|
Style Transfer (HP)
|
100% |
9534
12.3 IPS |
|
|
Style Transfer (Q)
|
87% |
13815
18.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2133
78.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1964
72.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3077
114.0 IPS |
|
|
Text Classification (SP)
|
100% |
1540
2.06 KIPS |
|
|
Text Classification (HP)
|
100% |
716
955.4 IPS |
|
|
Text Classification (Q)
|
97% |
1553
2.08 KIPS |
|
|
Machine Translation (SP)
|
100% |
2312
39.8 IPS |
|
|
Machine Translation (HP)
|
100% |
731
12.6 IPS |
|
|
Machine Translation (Q)
|
68% |
3544
68.5 IPS |
