Micro-Star International Co., Ltd. MS-7E02
Geekbench AI Score
3379
Single Precision Score
1389
Half Precision Score
5793
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | July 09 2025 07:46 PM |
| Views | 4 |
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% |
2459
457.3 IPS |
|
|
Image Classification (HP)
|
100% |
504
93.7 IPS |
|
|
Image Classification (Q)
|
99% |
4978
928.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1567
25.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
946
15.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
2716
44.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
5537
6.46 IPS |
|
|
Pose Estimation (HP)
|
100% |
4000
4.67 IPS |
|
|
Pose Estimation (Q)
|
94% |
18439
21.6 IPS |
|
|
Object Detection (SP)
|
100% |
2447
194.1 IPS |
|
|
Object Detection (HP)
|
100% |
633
50.2 IPS |
|
|
Object Detection (Q)
|
86% |
5221
419.6 IPS |
|
|
Face Detection (SP)
|
100% |
6326
75.2 IPS |
|
|
Face Detection (HP)
|
100% |
1583
18.8 IPS |
|
|
Face Detection (Q)
|
97% |
7787
92.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
7322
56.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
1948
15.0 IPS |
|
|
Depth Estimation (Q)
|
78% |
12676
101.1 IPS |
|
|
Style Transfer (SP)
|
100% |
13027
16.7 IPS |
|
|
Style Transfer (HP)
|
100% |
9364
12.0 IPS |
|
|
Style Transfer (Q)
|
98% |
20307
26.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2359
87.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1802
66.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3838
142.1 IPS |
|
|
Text Classification (SP)
|
100% |
1498
2.00 KIPS |
|
|
Text Classification (HP)
|
100% |
673
897.9 IPS |
|
|
Text Classification (Q)
|
97% |
1566
2.10 KIPS |
|
|
Machine Translation (SP)
|
100% |
1745
30.1 IPS |
|
|
Machine Translation (HP)
|
100% |
635
10.9 IPS |
|
|
Machine Translation (Q)
|
65% |
2717
54.6 IPS |
