Micro-Star International Co., Ltd. MS-7E59
Geekbench AI Score
13732
Single Precision Score
13648
Half Precision Score
32920
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | linuxid10t |
| Upload Date | June 05 2025 01:46 PM |
| Views | 15 |
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 | High 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% |
7122
1.32 KIPS |
|
|
Image Classification (HP)
|
100% |
7490
1.39 KIPS |
|
|
Image Classification (Q)
|
100% |
16782
3.12 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9369
151.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
9301
150.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
25270
409.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
27844
32.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
28041
32.7 IPS |
|
|
Pose Estimation (Q)
|
98% |
115046
134.7 IPS |
|
|
Object Detection (SP)
|
100% |
8151
646.6 IPS |
|
|
Object Detection (HP)
|
100% |
8099
642.4 IPS |
|
|
Object Detection (Q)
|
88% |
19848
1.59 KIPS |
|
|
Face Detection (SP)
|
100% |
18562
220.6 IPS |
|
|
Face Detection (HP)
|
100% |
17216
204.6 IPS |
|
|
Face Detection (Q)
|
100% |
49430
587.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
21777
167.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
21284
164.0 IPS |
|
|
Depth Estimation (Q)
|
88% |
66294
516.0 IPS |
|
|
Style Transfer (SP)
|
100% |
74694
96.0 IPS |
|
|
Style Transfer (HP)
|
100% |
75111
96.6 IPS |
|
|
Style Transfer (Q)
|
98% |
268537
346.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
13568
501.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13700
505.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
36947
1.37 KIPS |
|
|
Text Classification (SP)
|
100% |
4769
6.37 KIPS |
|
|
Text Classification (HP)
|
100% |
4475
5.97 KIPS |
|
|
Text Classification (Q)
|
92% |
5278
7.09 KIPS |
|
|
Machine Translation (SP)
|
100% |
8063
138.9 IPS |
|
|
Machine Translation (HP)
|
100% |
8401
144.7 IPS |
|
|
Machine Translation (Q)
|
100% |
8997
155.0 IPS |
