Micro-Star International Co., Ltd. MS-7E59
Geekbench AI Score
13062
Single Precision Score
13467
Half Precision Score
29840
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | February 25 2025 02:51 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 | 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% |
6717
1.25 KIPS |
|
|
Image Classification (HP)
|
100% |
7035
1.31 KIPS |
|
|
Image Classification (Q)
|
100% |
13888
2.58 KIPS |
|
|
Image Segmentation (SP)
|
100% |
8450
137.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
8701
141.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
20491
332.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
28636
33.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
28252
33.0 IPS |
|
|
Pose Estimation (Q)
|
98% |
115410
135.1 IPS |
|
|
Object Detection (SP)
|
100% |
7613
603.9 IPS |
|
|
Object Detection (HP)
|
100% |
7647
606.6 IPS |
|
|
Object Detection (Q)
|
88% |
17291
1.39 KIPS |
|
|
Face Detection (SP)
|
100% |
16401
194.9 IPS |
|
|
Face Detection (HP)
|
100% |
18001
213.9 IPS |
|
|
Face Detection (Q)
|
100% |
43242
513.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
21618
166.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
23377
180.1 IPS |
|
|
Depth Estimation (Q)
|
88% |
61054
475.1 IPS |
|
|
Style Transfer (SP)
|
100% |
74462
95.7 IPS |
|
|
Style Transfer (HP)
|
100% |
75758
97.4 IPS |
|
|
Style Transfer (Q)
|
98% |
262966
339.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
14007
517.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13991
516.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
36892
1.37 KIPS |
|
|
Text Classification (SP)
|
100% |
4727
6.31 KIPS |
|
|
Text Classification (HP)
|
100% |
4810
6.42 KIPS |
|
|
Text Classification (Q)
|
92% |
5820
7.82 KIPS |
|
|
Machine Translation (SP)
|
100% |
6686
115.2 IPS |
|
|
Machine Translation (HP)
|
100% |
6919
119.2 IPS |
|
|
Machine Translation (Q)
|
100% |
6614
113.9 IPS |
