Micro-Star International Co., Ltd. MS-7C37
Geekbench AI Score
2954
Single Precision Score
2898
Half Precision Score
3819
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | ahofmann |
| Upload Date | January 13 2026 02:16 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 7 3700X 8-Core Processor |
| 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% |
1829
340.2 IPS |
|
|
Image Classification (HP)
|
100% |
1901
353.5 IPS |
|
|
Image Classification (Q)
|
100% |
2633
489.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1071
17.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1099
17.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3265
53.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
4217
4.92 IPS |
|
|
Pose Estimation (HP)
|
100% |
3838
4.48 IPS |
|
|
Pose Estimation (Q)
|
94% |
6281
7.37 IPS |
|
|
Object Detection (SP)
|
100% |
1870
148.4 IPS |
|
|
Object Detection (HP)
|
100% |
1824
144.7 IPS |
|
|
Object Detection (Q)
|
87% |
2743
220.0 IPS |
|
|
Face Detection (SP)
|
100% |
4539
53.9 IPS |
|
|
Face Detection (HP)
|
100% |
4422
52.5 IPS |
|
|
Face Detection (Q)
|
97% |
8080
96.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5076
39.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
4883
37.6 IPS |
|
|
Depth Estimation (Q)
|
81% |
6945
54.8 IPS |
|
|
Style Transfer (SP)
|
100% |
12833
16.5 IPS |
|
|
Style Transfer (HP)
|
100% |
12785
16.4 IPS |
|
|
Style Transfer (Q)
|
98% |
17602
22.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2517
92.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2544
93.9 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
3436
127.3 IPS |
|
|
Text Classification (SP)
|
100% |
1816
2.42 KIPS |
|
|
Text Classification (HP)
|
100% |
1667
2.22 KIPS |
|
|
Text Classification (Q)
|
91% |
583
783.9 IPS |
|
|
Machine Translation (SP)
|
100% |
2429
41.8 IPS |
|
|
Machine Translation (HP)
|
100% |
2442
42.1 IPS |
|
|
Machine Translation (Q)
|
100% |
2255
38.8 IPS |
