Micro-Star International Co., Ltd. MS-7C37
Geekbench AI Score
2158
Single Precision Score
1037
Half Precision Score
2999
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | ahofmann |
| Upload Date | January 13 2026 01:04 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 3700X |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7C37 |
| Motherboard | Micro-Star International Co., Ltd. X570-A PRO (MS-7C37) |
| Power Plan | AMD Ryzen High Performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 3700X |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 23 Model 113 Stepping 0 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1698
315.8 IPS |
|
|
Image Classification (HP)
|
100% |
401
74.6 IPS |
|
|
Image Classification (Q)
|
96% |
2502
467.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
822
13.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
512
8.30 IPS |
|
|
Image Segmentation (Q)
|
97% |
3193
51.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
3597
4.20 IPS |
|
|
Pose Estimation (HP)
|
100% |
2905
3.39 IPS |
|
|
Pose Estimation (Q)
|
86% |
5261
6.22 IPS |
|
|
Object Detection (SP)
|
100% |
1564
124.0 IPS |
|
|
Object Detection (HP)
|
100% |
496
39.3 IPS |
|
|
Object Detection (Q)
|
58% |
1728
188.9 IPS |
|
|
Face Detection (SP)
|
100% |
3501
41.6 IPS |
|
|
Face Detection (HP)
|
100% |
1098
13.0 IPS |
|
|
Face Detection (Q)
|
96% |
5230
62.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
4622
35.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
1517
11.7 IPS |
|
|
Depth Estimation (Q)
|
78% |
5712
45.6 IPS |
|
|
Style Transfer (SP)
|
100% |
8765
11.3 IPS |
|
|
Style Transfer (HP)
|
100% |
7146
9.19 IPS |
|
|
Style Transfer (Q)
|
87% |
9947
12.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1374
50.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1320
48.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1962
72.7 IPS |
|
|
Text Classification (SP)
|
100% |
1059
1.41 KIPS |
|
|
Text Classification (HP)
|
100% |
512
683.8 IPS |
|
|
Text Classification (Q)
|
97% |
823
1.10 KIPS |
|
|
Machine Translation (SP)
|
100% |
1357
23.4 IPS |
|
|
Machine Translation (HP)
|
100% |
606
10.4 IPS |
|
|
Machine Translation (Q)
|
68% |
1691
32.7 IPS |
