Micro-Star International Co., Ltd. MS-7E51
Geekbench AI Score
7829
Single Precision Score
2798
Half Precision Score
12937
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | August 15 2025 11:09 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 9 9950X3D 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 | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 9950X3D |
| 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% |
5120
952.1 IPS |
|
|
Image Classification (HP)
|
100% |
848
157.7 IPS |
|
|
Image Classification (Q)
|
99% |
12926
2.41 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2616
42.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1368
22.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
5313
86.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
28886
33.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
16685
19.5 IPS |
|
|
Pose Estimation (Q)
|
94% |
81202
95.2 IPS |
|
|
Object Detection (SP)
|
100% |
5442
431.6 IPS |
|
|
Object Detection (HP)
|
100% |
1086
86.1 IPS |
|
|
Object Detection (Q)
|
86% |
13614
1.09 KIPS |
|
|
Face Detection (SP)
|
100% |
10076
119.7 IPS |
|
|
Face Detection (HP)
|
100% |
2574
30.6 IPS |
|
|
Face Detection (Q)
|
97% |
15061
179.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
20044
154.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
4177
32.2 IPS |
|
|
Depth Estimation (Q)
|
78% |
31640
252.5 IPS |
|
|
Style Transfer (SP)
|
100% |
47753
61.4 IPS |
|
|
Style Transfer (HP)
|
100% |
37939
48.8 IPS |
|
|
Style Transfer (Q)
|
98% |
50984
65.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5061
186.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3630
134.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6340
234.8 IPS |
|
|
Text Classification (SP)
|
100% |
2307
3.08 KIPS |
|
|
Text Classification (HP)
|
100% |
913
1.22 KIPS |
|
|
Text Classification (Q)
|
97% |
2144
2.87 KIPS |
|
|
Machine Translation (SP)
|
100% |
3653
62.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1035
17.8 IPS |
|
|
Machine Translation (Q)
|
65% |
5239
105.3 IPS |
