Micro-Star International Co., Ltd. MS-7E01
Geekbench AI Score
4025
Single Precision Score
1556
Half Precision Score
7164
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 10 2025 05:12 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-13600K |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7E01 |
| Motherboard | Micro-Star International Co., Ltd. MAG B760M MORTAR MAX WIFI (MS-7E01) |
| CPU Information | |
|---|---|
| Name | Intel Core i5-13600K |
| Topology | 1 Processor, 14 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.50 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3376
627.8 IPS |
|
|
Image Classification (HP)
|
100% |
581
108.0 IPS |
|
|
Image Classification (Q)
|
99% |
5958
1.11 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1852
30.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
948
15.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
8707
141.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
6534
7.62 IPS |
|
|
Pose Estimation (HP)
|
100% |
4399
5.13 IPS |
|
|
Pose Estimation (Q)
|
94% |
21722
25.5 IPS |
|
|
Object Detection (SP)
|
100% |
2943
233.4 IPS |
|
|
Object Detection (HP)
|
100% |
705
55.9 IPS |
|
|
Object Detection (Q)
|
86% |
5724
460.0 IPS |
|
|
Face Detection (SP)
|
100% |
8489
100.9 IPS |
|
|
Face Detection (HP)
|
100% |
1430
17.0 IPS |
|
|
Face Detection (Q)
|
97% |
9048
107.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8396
64.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
2231
17.2 IPS |
|
|
Depth Estimation (Q)
|
78% |
14730
117.5 IPS |
|
|
Style Transfer (SP)
|
100% |
15542
20.0 IPS |
|
|
Style Transfer (HP)
|
100% |
10328
13.3 IPS |
|
|
Style Transfer (Q)
|
98% |
20392
26.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2734
101.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2046
75.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4821
178.5 IPS |
|
|
Text Classification (SP)
|
100% |
1633
2.18 KIPS |
|
|
Text Classification (HP)
|
100% |
802
1.07 KIPS |
|
|
Text Classification (Q)
|
97% |
1409
1.89 KIPS |
|
|
Machine Translation (SP)
|
100% |
1880
32.4 IPS |
|
|
Machine Translation (HP)
|
100% |
901
15.5 IPS |
|
|
Machine Translation (Q)
|
65% |
2992
60.1 IPS |
