Micro-Star International Co., Ltd. MS-7E51
Geekbench AI Score
14145
Single Precision Score
14455
Half Precision Score
35708
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | May 24 2025 06:36 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 9 9950X 16-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7E51 |
| Motherboard | Micro-Star International Co., Ltd. MAG X870 TOMAHAWK WIFI (MS-7E51) |
| Power Plan | Ausbalanciert |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 9950X 16-Core Processor |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 4.30 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7164
1.33 KIPS |
|
|
Image Classification (HP)
|
100% |
7892
1.47 KIPS |
|
|
Image Classification (Q)
|
100% |
18789
3.49 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9097
147.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
8989
145.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
27706
449.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
30059
35.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
30039
35.1 IPS |
|
|
Pose Estimation (Q)
|
98% |
122233
143.1 IPS |
|
|
Object Detection (SP)
|
100% |
8578
680.4 IPS |
|
|
Object Detection (HP)
|
100% |
8501
674.3 IPS |
|
|
Object Detection (Q)
|
88% |
22013
1.76 KIPS |
|
|
Face Detection (SP)
|
100% |
18250
216.9 IPS |
|
|
Face Detection (HP)
|
100% |
18144
215.6 IPS |
|
|
Face Detection (Q)
|
100% |
55120
654.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
22086
170.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
22957
176.9 IPS |
|
|
Depth Estimation (Q)
|
88% |
69239
538.9 IPS |
|
|
Style Transfer (SP)
|
100% |
77702
99.9 IPS |
|
|
Style Transfer (HP)
|
100% |
80137
103.0 IPS |
|
|
Style Transfer (Q)
|
98% |
285687
368.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
13818
510.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
14978
553.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
39275
1.45 KIPS |
|
|
Text Classification (SP)
|
100% |
4910
6.55 KIPS |
|
|
Text Classification (HP)
|
100% |
4888
6.52 KIPS |
|
|
Text Classification (Q)
|
92% |
6043
8.12 KIPS |
|
|
Machine Translation (SP)
|
100% |
8986
154.8 IPS |
|
|
Machine Translation (HP)
|
100% |
9000
155.0 IPS |
|
|
Machine Translation (Q)
|
100% |
9300
160.2 IPS |
