Micro-Star International Co., Ltd. MS-7E02
Geekbench AI Score
4149
Single Precision Score
1574
Half Precision Score
6740
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | June 16 2025 09:14 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-12700F |
| 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 i7-12700F |
| Topology | 1 Processor, 12 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 151 Stepping 2 |
| Base Frequency | 2.10 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3292
612.2 IPS |
|
|
Image Classification (HP)
|
100% |
577
107.2 IPS |
|
|
Image Classification (Q)
|
99% |
6370
1.19 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1871
30.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1061
17.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
3316
53.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
7121
8.31 IPS |
|
|
Pose Estimation (HP)
|
100% |
4126
4.81 IPS |
|
|
Pose Estimation (Q)
|
94% |
24122
28.3 IPS |
|
|
Object Detection (SP)
|
100% |
3038
241.0 IPS |
|
|
Object Detection (HP)
|
100% |
741
58.7 IPS |
|
|
Object Detection (Q)
|
86% |
5820
467.7 IPS |
|
|
Face Detection (SP)
|
100% |
7898
93.8 IPS |
|
|
Face Detection (HP)
|
100% |
1687
20.0 IPS |
|
|
Face Detection (Q)
|
97% |
9182
109.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8989
69.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
2182
16.8 IPS |
|
|
Depth Estimation (Q)
|
78% |
14606
116.5 IPS |
|
|
Style Transfer (SP)
|
100% |
16479
21.2 IPS |
|
|
Style Transfer (HP)
|
100% |
10401
13.4 IPS |
|
|
Style Transfer (Q)
|
98% |
24345
31.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2997
110.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2098
77.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4409
163.2 IPS |
|
|
Text Classification (SP)
|
100% |
1576
2.10 KIPS |
|
|
Text Classification (HP)
|
100% |
785
1.05 KIPS |
|
|
Text Classification (Q)
|
97% |
1594
2.14 KIPS |
|
|
Machine Translation (SP)
|
100% |
2056
35.4 IPS |
|
|
Machine Translation (HP)
|
100% |
793
13.7 IPS |
|
|
Machine Translation (Q)
|
65% |
2846
57.2 IPS |
