Micro-Star International Co., Ltd. MS-7E25
Geekbench AI Score
4625
Single Precision Score
1735
Half Precision Score
8537
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 10 2025 12:52 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-14600K |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7E25 |
| Motherboard | Micro-Star International Co., Ltd. MAG Z790 TOMAHAWK MAX WIFI (MS-7E25) |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i5-14600K |
| 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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3525
655.5 IPS |
|
|
Image Classification (HP)
|
100% |
614
114.2 IPS |
|
|
Image Classification (Q)
|
99% |
6477
1.21 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2058
33.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1097
17.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
10034
163.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
7293
8.51 IPS |
|
|
Pose Estimation (HP)
|
100% |
4615
5.38 IPS |
|
|
Pose Estimation (Q)
|
94% |
25639
30.1 IPS |
|
|
Object Detection (SP)
|
100% |
3376
267.8 IPS |
|
|
Object Detection (HP)
|
100% |
809
64.2 IPS |
|
|
Object Detection (Q)
|
86% |
7150
574.6 IPS |
|
|
Face Detection (SP)
|
100% |
10242
121.7 IPS |
|
|
Face Detection (HP)
|
100% |
1958
23.3 IPS |
|
|
Face Detection (Q)
|
97% |
10577
126.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
9753
75.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
2327
17.9 IPS |
|
|
Depth Estimation (Q)
|
78% |
16580
132.3 IPS |
|
|
Style Transfer (SP)
|
100% |
17825
22.9 IPS |
|
|
Style Transfer (HP)
|
100% |
11197
14.4 IPS |
|
|
Style Transfer (Q)
|
98% |
26824
34.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3276
121.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2193
81.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6051
224.1 IPS |
|
|
Text Classification (SP)
|
100% |
1862
2.49 KIPS |
|
|
Text Classification (HP)
|
100% |
840
1.12 KIPS |
|
|
Text Classification (Q)
|
97% |
1707
2.29 KIPS |
|
|
Machine Translation (SP)
|
100% |
2313
39.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1046
18.0 IPS |
|
|
Machine Translation (Q)
|
65% |
3552
71.4 IPS |
