Micro-Star International Co., Ltd. MS-7E07
Geekbench AI Score
6455
Single Precision Score
6978
Half Precision Score
16025
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | Napolitain |
| Upload Date | April 15 2025 02:20 AM |
| Views | 14 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i7-14700K |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Professionnel (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7E07 |
| Motherboard | Micro-Star International Co., Ltd. PRO Z790-A MAX WIFI (MS-7E07) |
| Power Plan | Performances leves |
| CPU Information | |
|---|---|
| Name | Intel Core i7-14700K |
| Topology | 1 Processor, 20 Cores, 28 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2155
400.9 IPS |
|
|
Image Classification (HP)
|
100% |
4366
811.9 IPS |
|
|
Image Classification (Q)
|
100% |
9353
1.74 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5518
89.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
5189
84.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
10152
164.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
8515
9.94 IPS |
|
|
Pose Estimation (HP)
|
100% |
9418
11.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
32827
38.5 IPS |
|
|
Object Detection (SP)
|
100% |
4401
349.1 IPS |
|
|
Object Detection (HP)
|
100% |
4340
344.3 IPS |
|
|
Object Detection (Q)
|
88% |
10662
854.7 IPS |
|
|
Face Detection (SP)
|
100% |
6841
81.3 IPS |
|
|
Face Detection (HP)
|
100% |
7114
84.5 IPS |
|
|
Face Detection (Q)
|
100% |
25108
298.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
11445
88.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
11427
88.0 IPS |
|
|
Depth Estimation (Q)
|
89% |
27927
217.2 IPS |
|
|
Style Transfer (SP)
|
100% |
27642
35.5 IPS |
|
|
Style Transfer (HP)
|
100% |
27518
35.4 IPS |
|
|
Style Transfer (Q)
|
98% |
91762
118.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5668
209.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5775
213.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
17439
645.8 IPS |
|
|
Text Classification (SP)
|
100% |
4035
5.39 KIPS |
|
|
Text Classification (HP)
|
100% |
4018
5.36 KIPS |
|
|
Text Classification (Q)
|
92% |
5532
7.43 KIPS |
|
|
Machine Translation (SP)
|
100% |
5698
98.1 IPS |
|
|
Machine Translation (HP)
|
100% |
5696
98.1 IPS |
|
|
Machine Translation (Q)
|
100% |
5417
93.3 IPS |
