Micro-Star International Co., Ltd. MS-7E51
Geekbench AI Score
9225
Single Precision Score
3294
Half Precision Score
13549
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 24 2025 03:42 PM |
| Views | 3 |
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% |
8561
1.59 KIPS |
|
|
Image Classification (HP)
|
100% |
1170
217.7 IPS |
|
|
Image Classification (Q)
|
99% |
15013
2.80 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3493
56.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1789
29.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
5708
92.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
16295
19.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
12665
14.8 IPS |
|
|
Pose Estimation (Q)
|
94% |
53410
62.6 IPS |
|
|
Object Detection (SP)
|
100% |
7933
629.3 IPS |
|
|
Object Detection (HP)
|
100% |
1482
117.6 IPS |
|
|
Object Detection (Q)
|
86% |
15548
1.25 KIPS |
|
|
Face Detection (SP)
|
100% |
12680
150.7 IPS |
|
|
Face Detection (HP)
|
100% |
3132
37.2 IPS |
|
|
Face Detection (Q)
|
97% |
16223
193.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
20614
158.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
4467
34.4 IPS |
|
|
Depth Estimation (Q)
|
78% |
30751
245.4 IPS |
|
|
Style Transfer (SP)
|
100% |
37115
47.7 IPS |
|
|
Style Transfer (HP)
|
100% |
27314
35.1 IPS |
|
|
Style Transfer (Q)
|
98% |
40046
51.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6349
234.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5161
190.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7244
268.3 IPS |
|
|
Text Classification (SP)
|
100% |
3506
4.68 KIPS |
|
|
Text Classification (HP)
|
100% |
1454
1.94 KIPS |
|
|
Text Classification (Q)
|
97% |
2798
3.75 KIPS |
|
|
Machine Translation (SP)
|
100% |
5351
92.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1339
23.1 IPS |
|
|
Machine Translation (Q)
|
65% |
7238
145.4 IPS |
