Micro-Star International Co., Ltd. MS-7C37
Geekbench AI Score
5399
Single Precision Score
5329
Half Precision Score
4684
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | nithinmohantk |
| Upload Date | February 01 2025 05:55 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 | AMD Ryzen Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 5950X |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2928
544.5 IPS |
|
|
Image Classification (HP)
|
100% |
3009
559.6 IPS |
|
|
Image Classification (Q)
|
100% |
5216
970.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
4546
73.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
4037
65.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
7590
123.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
8326
9.72 IPS |
|
|
Pose Estimation (HP)
|
100% |
8396
9.80 IPS |
|
|
Pose Estimation (Q)
|
94% |
3174
3.72 IPS |
|
|
Object Detection (SP)
|
100% |
3305
262.2 IPS |
|
|
Object Detection (HP)
|
100% |
3378
267.9 IPS |
|
|
Object Detection (Q)
|
87% |
5533
443.8 IPS |
|
|
Face Detection (SP)
|
100% |
8118
96.5 IPS |
|
|
Face Detection (HP)
|
100% |
8149
96.8 IPS |
|
|
Face Detection (Q)
|
97% |
16766
199.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
9023
69.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
9345
72.0 IPS |
|
|
Depth Estimation (Q)
|
81% |
7896
62.3 IPS |
|
|
Style Transfer (SP)
|
100% |
30585
39.3 IPS |
|
|
Style Transfer (HP)
|
100% |
26371
33.9 IPS |
|
|
Style Transfer (Q)
|
98% |
10287
13.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5024
185.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5016
185.2 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
9752
361.2 IPS |
|
|
Text Classification (SP)
|
100% |
2425
3.24 KIPS |
|
|
Text Classification (HP)
|
100% |
2514
3.36 KIPS |
|
|
Text Classification (Q)
|
91% |
266
357.7 IPS |
|
|
Machine Translation (SP)
|
100% |
2107
36.3 IPS |
|
|
Machine Translation (HP)
|
100% |
2120
36.5 IPS |
|
|
Machine Translation (Q)
|
100% |
2072
35.7 IPS |
