Micro-Star International Co., Ltd. MS-7E01
Geekbench AI Score
4110
Single Precision Score
1580
Half Precision Score
7507
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 10 2025 05:21 PM |
| Views | 2 |
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% |
3433
638.4 IPS |
|
|
Image Classification (HP)
|
100% |
603
112.2 IPS |
|
|
Image Classification (Q)
|
99% |
6198
1.16 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1852
30.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1018
16.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
8974
145.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
6794
7.93 IPS |
|
|
Pose Estimation (HP)
|
100% |
4378
5.11 IPS |
|
|
Pose Estimation (Q)
|
94% |
21350
25.0 IPS |
|
|
Object Detection (SP)
|
100% |
3050
241.9 IPS |
|
|
Object Detection (HP)
|
100% |
681
54.0 IPS |
|
|
Object Detection (Q)
|
86% |
6282
504.9 IPS |
|
|
Face Detection (SP)
|
100% |
8836
105.0 IPS |
|
|
Face Detection (HP)
|
100% |
1685
20.0 IPS |
|
|
Face Detection (Q)
|
97% |
9777
116.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8184
63.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
2113
16.3 IPS |
|
|
Depth Estimation (Q)
|
78% |
14699
117.3 IPS |
|
|
Style Transfer (SP)
|
100% |
15665
20.1 IPS |
|
|
Style Transfer (HP)
|
100% |
10398
13.4 IPS |
|
|
Style Transfer (Q)
|
98% |
22504
29.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2895
106.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2039
75.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5516
204.3 IPS |
|
|
Text Classification (SP)
|
100% |
1625
2.17 KIPS |
|
|
Text Classification (HP)
|
100% |
776
1.04 KIPS |
|
|
Text Classification (Q)
|
97% |
1441
1.93 KIPS |
|
|
Machine Translation (SP)
|
100% |
1960
33.8 IPS |
|
|
Machine Translation (HP)
|
100% |
908
15.6 IPS |
|
|
Machine Translation (Q)
|
65% |
2965
59.6 IPS |
