Micro-Star International Co., Ltd. MS-7E51
Geekbench AI Score
8680
Single Precision Score
3176
Half Precision Score
13082
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 15 2025 03:19 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 9700X 8-Core Processor |
| System Information | |
|---|---|
| Operating System | 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) |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 9700X |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
8113
1.51 KIPS |
|
|
Image Classification (HP)
|
100% |
1116
207.5 IPS |
|
|
Image Classification (Q)
|
99% |
14552
2.71 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3094
50.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1744
28.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
5429
88.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
15457
18.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
12054
14.1 IPS |
|
|
Pose Estimation (Q)
|
94% |
50124
58.8 IPS |
|
|
Object Detection (SP)
|
100% |
7538
597.9 IPS |
|
|
Object Detection (HP)
|
100% |
1480
117.4 IPS |
|
|
Object Detection (Q)
|
86% |
15085
1.21 KIPS |
|
|
Face Detection (SP)
|
100% |
12121
144.0 IPS |
|
|
Face Detection (HP)
|
100% |
3016
35.8 IPS |
|
|
Face Detection (Q)
|
97% |
15740
187.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
19718
151.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
4196
32.3 IPS |
|
|
Depth Estimation (Q)
|
78% |
30064
239.9 IPS |
|
|
Style Transfer (SP)
|
100% |
33937
43.6 IPS |
|
|
Style Transfer (HP)
|
100% |
25538
32.8 IPS |
|
|
Style Transfer (Q)
|
98% |
40083
51.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5607
207.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5037
186.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7113
263.4 IPS |
|
|
Text Classification (SP)
|
100% |
3425
4.57 KIPS |
|
|
Text Classification (HP)
|
100% |
1432
1.91 KIPS |
|
|
Text Classification (Q)
|
97% |
2712
3.63 KIPS |
|
|
Machine Translation (SP)
|
100% |
5333
91.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1293
22.3 IPS |
|
|
Machine Translation (Q)
|
65% |
6719
135.0 IPS |
