Micro-Star International Co., Ltd. MS-7C37
Geekbench AI Score
5242
Single Precision Score
5429
Half Precision Score
6456
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | craze173 |
| Upload Date | July 20 2025 04:57 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 9 5950X 16-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7C37 |
| Motherboard | Micro-Star International Co., Ltd. MPG X570 GAMING EDGE WIFI (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 2 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3277
609.3 IPS |
|
|
Image Classification (HP)
|
100% |
3288
611.5 IPS |
|
|
Image Classification (Q)
|
100% |
4557
847.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
4244
68.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
4145
67.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
7674
124.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
7832
9.14 IPS |
|
|
Pose Estimation (HP)
|
100% |
8876
10.4 IPS |
|
|
Pose Estimation (Q)
|
94% |
18180
21.3 IPS |
|
|
Object Detection (SP)
|
100% |
3632
288.1 IPS |
|
|
Object Detection (HP)
|
100% |
3722
295.2 IPS |
|
|
Object Detection (Q)
|
87% |
4687
375.9 IPS |
|
|
Face Detection (SP)
|
100% |
8519
101.2 IPS |
|
|
Face Detection (HP)
|
100% |
8241
97.9 IPS |
|
|
Face Detection (Q)
|
97% |
14701
175.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
9297
71.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
9448
72.8 IPS |
|
|
Depth Estimation (Q)
|
81% |
14337
113.0 IPS |
|
|
Style Transfer (SP)
|
100% |
22069
28.4 IPS |
|
|
Style Transfer (HP)
|
100% |
26526
34.1 IPS |
|
|
Style Transfer (Q)
|
98% |
54724
70.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4368
161.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5297
195.6 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
9832
364.2 IPS |
|
|
Text Classification (SP)
|
100% |
2223
2.97 KIPS |
|
|
Text Classification (HP)
|
100% |
2258
3.01 KIPS |
|
|
Text Classification (Q)
|
91% |
185
248.7 IPS |
|
|
Machine Translation (SP)
|
100% |
2337
40.3 IPS |
|
|
Machine Translation (HP)
|
100% |
2001
34.5 IPS |
|
|
Machine Translation (Q)
|
100% |
2013
34.7 IPS |
