Micro-Star International Co., Ltd. MS-7E07
Geekbench AI Score
4918
Single Precision Score
4725
Half Precision Score
11557
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | December 15 2024 11:15 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | 12th Gen Intel(R) Core(TM) i5-12600K |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7E07 |
| Motherboard | Micro-Star International Co., Ltd. PRO Z790-A WIFI DDR4 (MS-7E07) |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Core i5-12600K |
| Topology | 1 Processor, 10 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 151 Stepping 2 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1460
271.5 IPS |
|
|
Image Classification (HP)
|
100% |
3375
627.6 IPS |
|
|
Image Classification (Q)
|
100% |
7614
1.42 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3790
61.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2098
34.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
6359
103.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
6599
7.70 IPS |
|
|
Pose Estimation (HP)
|
100% |
6596
7.70 IPS |
|
|
Pose Estimation (Q)
|
96% |
24273
28.4 IPS |
|
|
Object Detection (SP)
|
100% |
3186
252.7 IPS |
|
|
Object Detection (HP)
|
100% |
3155
250.3 IPS |
|
|
Object Detection (Q)
|
88% |
7982
639.8 IPS |
|
|
Face Detection (SP)
|
100% |
6923
82.3 IPS |
|
|
Face Detection (HP)
|
100% |
6995
83.1 IPS |
|
|
Face Detection (Q)
|
100% |
18363
218.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8683
66.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
8662
66.7 IPS |
|
|
Depth Estimation (Q)
|
89% |
21103
164.1 IPS |
|
|
Style Transfer (SP)
|
100% |
19394
24.9 IPS |
|
|
Style Transfer (HP)
|
100% |
19380
24.9 IPS |
|
|
Style Transfer (Q)
|
98% |
37837
48.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4081
150.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2134
78.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
13181
488.1 IPS |
|
|
Text Classification (SP)
|
100% |
3265
4.36 KIPS |
|
|
Text Classification (HP)
|
100% |
3260
4.35 KIPS |
|
|
Text Classification (Q)
|
92% |
5141
6.91 KIPS |
|
|
Machine Translation (SP)
|
100% |
4587
79.0 IPS |
|
|
Machine Translation (HP)
|
100% |
4614
79.5 IPS |
|
|
Machine Translation (Q)
|
100% |
4562
78.6 IPS |
