Micro-Star International Co., Ltd. MS-7E02
Geekbench AI Score
3275
Single Precision Score
1347
Half Precision Score
5740
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | April 01 2025 01:42 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-14400F |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7E02 |
| Motherboard | Micro-Star International Co., Ltd. PRO B760M-P (MS-7E02) |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i5-14400F |
| Topology | 1 Processor, 10 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 2.50 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2556
475.3 IPS |
|
|
Image Classification (HP)
|
100% |
489
90.9 IPS |
|
|
Image Classification (Q)
|
99% |
4833
901.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1497
24.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
895
14.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
2846
46.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
5272
6.15 IPS |
|
|
Pose Estimation (HP)
|
100% |
3906
4.56 IPS |
|
|
Pose Estimation (Q)
|
94% |
18425
21.6 IPS |
|
|
Object Detection (SP)
|
100% |
2399
190.3 IPS |
|
|
Object Detection (HP)
|
100% |
623
49.4 IPS |
|
|
Object Detection (Q)
|
86% |
5096
409.6 IPS |
|
|
Face Detection (SP)
|
100% |
6222
73.9 IPS |
|
|
Face Detection (HP)
|
100% |
1436
17.1 IPS |
|
|
Face Detection (Q)
|
97% |
7944
94.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
6908
53.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
1842
14.2 IPS |
|
|
Depth Estimation (Q)
|
78% |
12478
99.6 IPS |
|
|
Style Transfer (SP)
|
100% |
12692
16.3 IPS |
|
|
Style Transfer (HP)
|
100% |
9236
11.9 IPS |
|
|
Style Transfer (Q)
|
98% |
20307
26.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2338
86.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1797
66.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3698
136.9 IPS |
|
|
Text Classification (SP)
|
100% |
1381
1.84 KIPS |
|
|
Text Classification (HP)
|
100% |
673
898.0 IPS |
|
|
Text Classification (Q)
|
97% |
1563
2.09 KIPS |
|
|
Machine Translation (SP)
|
100% |
1667
28.7 IPS |
|
|
Machine Translation (HP)
|
100% |
626
10.8 IPS |
|
|
Machine Translation (Q)
|
65% |
2585
51.9 IPS |
