Micro-Star International Co., Ltd. MS-7C94
Geekbench AI Score
6921
Single Precision Score
6930
Half Precision Score
8775
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | mortonp38 |
| Upload Date | July 15 2025 02:14 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 9 5900X 12-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7C94 |
| Motherboard | Micro-Star International Co., Ltd. MAG B550M MORTAR (MS-7C94) |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 5900X |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4118
765.8 IPS |
|
|
Image Classification (HP)
|
100% |
3978
739.8 IPS |
|
|
Image Classification (Q)
|
100% |
5850
1.09 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5716
92.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
5628
91.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
8775
142.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
10690
12.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
10620
12.4 IPS |
|
|
Pose Estimation (Q)
|
94% |
18564
21.8 IPS |
|
|
Object Detection (SP)
|
100% |
3859
306.1 IPS |
|
|
Object Detection (HP)
|
100% |
4348
344.9 IPS |
|
|
Object Detection (Q)
|
87% |
6959
558.1 IPS |
|
|
Face Detection (SP)
|
100% |
10197
121.2 IPS |
|
|
Face Detection (HP)
|
100% |
10112
120.2 IPS |
|
|
Face Detection (Q)
|
97% |
19291
230.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
10982
84.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
11176
86.1 IPS |
|
|
Depth Estimation (Q)
|
81% |
19498
153.7 IPS |
|
|
Style Transfer (SP)
|
100% |
30874
39.7 IPS |
|
|
Style Transfer (HP)
|
100% |
31233
40.2 IPS |
|
|
Style Transfer (Q)
|
98% |
60657
78.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6224
229.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6216
229.5 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
11299
418.5 IPS |
|
|
Text Classification (SP)
|
100% |
2995
4.00 KIPS |
|
|
Text Classification (HP)
|
100% |
2973
3.97 KIPS |
|
|
Text Classification (Q)
|
91% |
468
629.4 IPS |
|
|
Machine Translation (SP)
|
100% |
4032
69.5 IPS |
|
|
Machine Translation (HP)
|
100% |
3791
65.3 IPS |
|
|
Machine Translation (Q)
|
100% |
3385
58.3 IPS |
