Micro-Star International Co., Ltd. MS-7E01
Geekbench AI Score
5578
Single Precision Score
1975
Half Precision Score
7975
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | May 09 2025 10:52 PM |
| Views | 3 |
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, 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% |
4213
783.5 IPS |
|
|
Image Classification (HP)
|
100% |
663
123.2 IPS |
|
|
Image Classification (Q)
|
99% |
7755
1.45 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2504
40.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1164
18.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
3899
63.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
8673
10.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
5429
6.33 IPS |
|
|
Pose Estimation (Q)
|
94% |
28887
33.9 IPS |
|
|
Object Detection (SP)
|
100% |
4097
325.0 IPS |
|
|
Object Detection (HP)
|
100% |
872
69.1 IPS |
|
|
Object Detection (Q)
|
86% |
7548
606.6 IPS |
|
|
Face Detection (SP)
|
100% |
11873
141.1 IPS |
|
|
Face Detection (HP)
|
100% |
2445
29.1 IPS |
|
|
Face Detection (Q)
|
97% |
12396
147.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
11599
89.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
2778
21.4 IPS |
|
|
Depth Estimation (Q)
|
78% |
20129
160.6 IPS |
|
|
Style Transfer (SP)
|
100% |
21761
28.0 IPS |
|
|
Style Transfer (HP)
|
100% |
13751
17.7 IPS |
|
|
Style Transfer (Q)
|
98% |
36908
47.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3879
143.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2655
98.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5985
221.6 IPS |
|
|
Text Classification (SP)
|
100% |
2130
2.84 KIPS |
|
|
Text Classification (HP)
|
100% |
977
1.30 KIPS |
|
|
Text Classification (Q)
|
97% |
705
944.4 IPS |
|
|
Machine Translation (SP)
|
100% |
3142
54.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1022
17.6 IPS |
|
|
Machine Translation (Q)
|
65% |
4063
81.6 IPS |
