Micro-Star International Co., Ltd. MS-7E02
Geekbench AI Score
3445
Single Precision Score
1430
Half Precision Score
5990
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | August 21 2025 07:17 AM |
| Views | 6 |
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% |
2648
492.5 IPS |
|
|
Image Classification (HP)
|
100% |
520
96.7 IPS |
|
|
Image Classification (Q)
|
99% |
5098
950.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1506
24.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
946
15.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
2862
46.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
5565
6.49 IPS |
|
|
Pose Estimation (HP)
|
100% |
4020
4.69 IPS |
|
|
Pose Estimation (Q)
|
94% |
19551
22.9 IPS |
|
|
Object Detection (SP)
|
100% |
2599
206.2 IPS |
|
|
Object Detection (HP)
|
100% |
671
53.3 IPS |
|
|
Object Detection (Q)
|
86% |
5218
419.4 IPS |
|
|
Face Detection (SP)
|
100% |
6591
78.3 IPS |
|
|
Face Detection (HP)
|
100% |
1609
19.1 IPS |
|
|
Face Detection (Q)
|
97% |
8118
96.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
7125
54.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
1925
14.8 IPS |
|
|
Depth Estimation (Q)
|
78% |
13208
105.4 IPS |
|
|
Style Transfer (SP)
|
100% |
13133
16.9 IPS |
|
|
Style Transfer (HP)
|
100% |
9580
12.3 IPS |
|
|
Style Transfer (Q)
|
98% |
22822
29.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2376
87.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1922
71.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3699
137.0 IPS |
|
|
Text Classification (SP)
|
100% |
1521
2.03 KIPS |
|
|
Text Classification (HP)
|
100% |
721
962.4 IPS |
|
|
Text Classification (Q)
|
97% |
1587
2.13 KIPS |
|
|
Machine Translation (SP)
|
100% |
1832
31.6 IPS |
|
|
Machine Translation (HP)
|
100% |
659
11.4 IPS |
|
|
Machine Translation (Q)
|
65% |
2784
55.9 IPS |
