Micro-Star International Co., Ltd. MS-7E51
Geekbench AI Score
8592
Single Precision Score
3142
Half Precision Score
12916
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 12 2025 01:55 PM |
| 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% |
7650
1.42 KIPS |
|
|
Image Classification (HP)
|
100% |
1131
210.3 IPS |
|
|
Image Classification (Q)
|
99% |
14408
2.69 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3150
51.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1727
28.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
5132
83.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
15125
17.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
11532
13.5 IPS |
|
|
Pose Estimation (Q)
|
94% |
48524
56.9 IPS |
|
|
Object Detection (SP)
|
100% |
7244
574.6 IPS |
|
|
Object Detection (HP)
|
100% |
1472
116.7 IPS |
|
|
Object Detection (Q)
|
86% |
14775
1.19 KIPS |
|
|
Face Detection (SP)
|
100% |
12917
153.5 IPS |
|
|
Face Detection (HP)
|
100% |
2990
35.5 IPS |
|
|
Face Detection (Q)
|
97% |
15523
185.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
18735
144.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
4338
33.4 IPS |
|
|
Depth Estimation (Q)
|
78% |
30454
243.0 IPS |
|
|
Style Transfer (SP)
|
100% |
34913
44.9 IPS |
|
|
Style Transfer (HP)
|
100% |
25156
32.3 IPS |
|
|
Style Transfer (Q)
|
98% |
39804
51.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5918
218.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4811
177.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6994
259.0 IPS |
|
|
Text Classification (SP)
|
100% |
3347
4.47 KIPS |
|
|
Text Classification (HP)
|
100% |
1376
1.84 KIPS |
|
|
Text Classification (Q)
|
97% |
2696
3.61 KIPS |
|
|
Machine Translation (SP)
|
100% |
4963
85.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1313
22.6 IPS |
|
|
Machine Translation (Q)
|
65% |
6872
138.1 IPS |
