Micro-Star International Co., Ltd. MS-7E59
Geekbench AI Score
13662
Single Precision Score
13745
Half Precision Score
30889
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | March 17 2025 04:10 PM |
| Views | 2 |
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-7E59 |
| Motherboard | Micro-Star International Co., Ltd. MAG X870E TOMAHAWK WIFI (MS-7E59) |
| Power Plan | Dynamic Boost Performance |
| 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% |
6817
1.27 KIPS |
|
|
Image Classification (HP)
|
100% |
6667
1.24 KIPS |
|
|
Image Classification (Q)
|
100% |
14546
2.71 KIPS |
|
|
Image Segmentation (SP)
|
100% |
8870
143.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
8644
140.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
22464
364.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
28868
33.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
29096
34.0 IPS |
|
|
Pose Estimation (Q)
|
98% |
116234
136.1 IPS |
|
|
Object Detection (SP)
|
100% |
8102
642.6 IPS |
|
|
Object Detection (HP)
|
100% |
8103
642.8 IPS |
|
|
Object Detection (Q)
|
88% |
17444
1.40 KIPS |
|
|
Face Detection (SP)
|
100% |
18399
218.6 IPS |
|
|
Face Detection (HP)
|
100% |
19978
237.4 IPS |
|
|
Face Detection (Q)
|
100% |
46906
557.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
23171
178.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
22564
173.8 IPS |
|
|
Depth Estimation (Q)
|
88% |
62129
483.4 IPS |
|
|
Style Transfer (SP)
|
100% |
77723
99.9 IPS |
|
|
Style Transfer (HP)
|
100% |
76773
98.7 IPS |
|
|
Style Transfer (Q)
|
98% |
270999
349.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
14607
539.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
14709
543.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
38231
1.42 KIPS |
|
|
Text Classification (SP)
|
100% |
4802
6.41 KIPS |
|
|
Text Classification (HP)
|
100% |
4989
6.66 KIPS |
|
|
Text Classification (Q)
|
92% |
5869
7.88 KIPS |
|
|
Machine Translation (SP)
|
100% |
6896
118.8 IPS |
|
|
Machine Translation (HP)
|
100% |
6978
120.2 IPS |
|
|
Machine Translation (Q)
|
100% |
6737
116.0 IPS |
