Micro-Star International Co., Ltd. MS-7E02
Geekbench AI Score
4142
Single Precision Score
1557
Half Precision Score
7050
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | October 29 2025 01:57 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-14600K |
| 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 i5-14600K |
| 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% |
3188
592.9 IPS |
|
|
Image Classification (HP)
|
100% |
528
98.2 IPS |
|
|
Image Classification (Q)
|
99% |
6135
1.14 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1970
31.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1140
18.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
3754
61.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
6862
8.01 IPS |
|
|
Pose Estimation (HP)
|
100% |
4254
4.96 IPS |
|
|
Pose Estimation (Q)
|
94% |
23753
27.9 IPS |
|
|
Object Detection (SP)
|
100% |
2958
234.6 IPS |
|
|
Object Detection (HP)
|
100% |
700
55.5 IPS |
|
|
Object Detection (Q)
|
86% |
6420
516.0 IPS |
|
|
Face Detection (SP)
|
100% |
8475
100.7 IPS |
|
|
Face Detection (HP)
|
100% |
1749
20.8 IPS |
|
|
Face Detection (Q)
|
97% |
9933
118.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8826
68.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
2011
15.5 IPS |
|
|
Depth Estimation (Q)
|
78% |
13390
106.8 IPS |
|
|
Style Transfer (SP)
|
100% |
16237
20.9 IPS |
|
|
Style Transfer (HP)
|
100% |
10464
13.5 IPS |
|
|
Style Transfer (Q)
|
98% |
24749
31.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3062
113.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2061
76.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4306
159.4 IPS |
|
|
Text Classification (SP)
|
100% |
1638
2.19 KIPS |
|
|
Text Classification (HP)
|
100% |
784
1.05 KIPS |
|
|
Text Classification (Q)
|
97% |
1808
2.42 KIPS |
|
|
Machine Translation (SP)
|
100% |
1916
33.0 IPS |
|
|
Machine Translation (HP)
|
100% |
787
13.6 IPS |
|
|
Machine Translation (Q)
|
65% |
3374
67.8 IPS |
