Micro-Star International Co., Ltd. MS-7E01
Geekbench AI Score
5426
Single Precision Score
2301
Half Precision Score
8046
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | May 11 2025 01:38 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-14600KF |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 IoT Enterprise LTSC (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7E01 |
| Motherboard | Micro-Star International Co., Ltd. Z790MPOWER (MS-7E01) |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i5-14600KF |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.50 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3961
736.6 IPS |
|
|
Image Classification (HP)
|
100% |
869
161.7 IPS |
|
|
Image Classification (Q)
|
99% |
8031
1.50 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2427
39.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1503
24.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
3366
54.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
7976
9.31 IPS |
|
|
Pose Estimation (HP)
|
100% |
5716
6.67 IPS |
|
|
Pose Estimation (Q)
|
94% |
26530
31.1 IPS |
|
|
Object Detection (SP)
|
100% |
3923
311.2 IPS |
|
|
Object Detection (HP)
|
100% |
1119
88.8 IPS |
|
|
Object Detection (Q)
|
86% |
7510
603.6 IPS |
|
|
Face Detection (SP)
|
100% |
10727
127.5 IPS |
|
|
Face Detection (HP)
|
100% |
2732
32.5 IPS |
|
|
Face Detection (Q)
|
97% |
11467
136.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
10300
79.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
3190
24.6 IPS |
|
|
Depth Estimation (Q)
|
78% |
19857
158.5 IPS |
|
|
Style Transfer (SP)
|
100% |
19238
24.7 IPS |
|
|
Style Transfer (HP)
|
100% |
13775
17.7 IPS |
|
|
Style Transfer (Q)
|
98% |
33744
43.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3861
142.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2918
107.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6245
231.3 IPS |
|
|
Text Classification (SP)
|
100% |
2312
3.09 KIPS |
|
|
Text Classification (HP)
|
100% |
1176
1.57 KIPS |
|
|
Text Classification (Q)
|
97% |
839
1.12 KIPS |
|
|
Machine Translation (SP)
|
100% |
3880
66.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1211
20.9 IPS |
|
|
Machine Translation (Q)
|
65% |
5245
105.4 IPS |
