Micro-Star International Co., Ltd. MS-7E51
Geekbench AI Score
9032
Single Precision Score
3213
Half Precision Score
13031
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 23 2025 11:32 AM |
| Views | 4 |
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% |
8178
1.52 KIPS |
|
|
Image Classification (HP)
|
100% |
1124
208.9 IPS |
|
|
Image Classification (Q)
|
99% |
14235
2.66 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3459
56.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1747
28.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
5246
85.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
16235
18.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
12451
14.5 IPS |
|
|
Pose Estimation (Q)
|
94% |
51279
60.1 IPS |
|
|
Object Detection (SP)
|
100% |
7668
608.2 IPS |
|
|
Object Detection (HP)
|
100% |
1485
117.8 IPS |
|
|
Object Detection (Q)
|
86% |
15046
1.21 KIPS |
|
|
Face Detection (SP)
|
100% |
12705
151.0 IPS |
|
|
Face Detection (HP)
|
100% |
3060
36.4 IPS |
|
|
Face Detection (Q)
|
97% |
15828
188.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
19770
152.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
4384
33.8 IPS |
|
|
Depth Estimation (Q)
|
78% |
29936
238.9 IPS |
|
|
Style Transfer (SP)
|
100% |
36704
47.2 IPS |
|
|
Style Transfer (HP)
|
100% |
27272
35.1 IPS |
|
|
Style Transfer (Q)
|
98% |
39943
51.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6138
226.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5058
186.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7029
260.3 IPS |
|
|
Text Classification (SP)
|
100% |
3390
4.52 KIPS |
|
|
Text Classification (HP)
|
100% |
1357
1.81 KIPS |
|
|
Text Classification (Q)
|
97% |
2744
3.68 KIPS |
|
|
Machine Translation (SP)
|
100% |
5349
92.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1288
22.2 IPS |
|
|
Machine Translation (Q)
|
65% |
6716
135.0 IPS |
