Micro-Star International Co., Ltd. MS-7C37
Geekbench AI Score
6713
Single Precision Score
6550
Half Precision Score
8659
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | nithinmohantk |
| Upload Date | July 01 2025 09:31 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 9 5950X 16-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 | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 5950X |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 0 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3748
697.0 IPS |
|
|
Image Classification (HP)
|
100% |
3644
677.6 IPS |
|
|
Image Classification (Q)
|
100% |
5980
1.11 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5725
92.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
5275
85.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
9457
153.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
10796
12.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
11039
12.9 IPS |
|
|
Pose Estimation (Q)
|
94% |
23832
28.0 IPS |
|
|
Object Detection (SP)
|
100% |
4394
348.5 IPS |
|
|
Object Detection (HP)
|
100% |
4203
333.4 IPS |
|
|
Object Detection (Q)
|
87% |
6952
557.5 IPS |
|
|
Face Detection (SP)
|
100% |
9942
118.1 IPS |
|
|
Face Detection (HP)
|
100% |
9635
114.5 IPS |
|
|
Face Detection (Q)
|
97% |
20191
240.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
11399
87.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
11561
89.1 IPS |
|
|
Depth Estimation (Q)
|
81% |
19829
156.4 IPS |
|
|
Style Transfer (SP)
|
100% |
31321
40.3 IPS |
|
|
Style Transfer (HP)
|
100% |
30450
39.1 IPS |
|
|
Style Transfer (Q)
|
98% |
66252
85.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6330
233.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6262
231.2 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
11801
437.1 IPS |
|
|
Text Classification (SP)
|
100% |
2768
3.69 KIPS |
|
|
Text Classification (HP)
|
100% |
2851
3.81 KIPS |
|
|
Text Classification (Q)
|
91% |
300
403.6 IPS |
|
|
Machine Translation (SP)
|
100% |
2936
50.6 IPS |
|
|
Machine Translation (HP)
|
100% |
2695
46.4 IPS |
|
|
Machine Translation (Q)
|
100% |
2696
46.4 IPS |
