Micro-Star International Co., Ltd. MS-7D32
Geekbench AI Score
7386
Single Precision Score
7416
Half Precision Score
17123
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | Homex |
| Upload Date | August 26 2024 02:28 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | 13th Gen Intel(R) Core(TM) i7-13700KF |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7D32 |
| Motherboard | Micro-Star International Co., Ltd. MAG Z690 TOMAHAWK WIFI (MS-7D32) |
| Power Plan | Adamx's Power Plan |
| CPU Information | |
|---|---|
| Name | Intel Core i7-13700KF |
| Topology | 1 Processor, 8 Cores |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.42 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5061
941.2 IPS |
|
|
Image Classification (HP)
|
100% |
5075
943.8 IPS |
|
|
Image Classification (Q)
|
100% |
10140
1.89 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5596
90.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
5620
91.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
10006
162.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
9880
11.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
9885
11.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
35838
42.0 IPS |
|
|
Object Detection (SP)
|
100% |
4884
387.4 IPS |
|
|
Object Detection (HP)
|
100% |
4861
385.5 IPS |
|
|
Object Detection (Q)
|
88% |
11014
882.9 IPS |
|
|
Face Detection (SP)
|
100% |
14956
177.7 IPS |
|
|
Face Detection (HP)
|
100% |
14905
177.1 IPS |
|
|
Face Detection (Q)
|
100% |
27661
328.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
12929
99.6 IPS |
|
|
Depth Estimation (HP)
|
100% |
12933
99.6 IPS |
|
|
Depth Estimation (Q)
|
80% |
30414
241.0 IPS |
|
|
Style Transfer (SP)
|
100% |
29536
38.0 IPS |
|
|
Style Transfer (HP)
|
100% |
29565
38.0 IPS |
|
|
Style Transfer (Q)
|
98% |
99442
128.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6213
229.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6204
229.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
18376
680.5 IPS |
|
|
Text Classification (SP)
|
100% |
1762
2.35 KIPS |
|
|
Text Classification (HP)
|
100% |
1804
2.41 KIPS |
|
|
Text Classification (Q)
|
92% |
5144
6.91 KIPS |
|
|
Machine Translation (SP)
|
100% |
5662
97.5 IPS |
|
|
Machine Translation (HP)
|
100% |
5761
99.2 IPS |
|
|
Machine Translation (Q)
|
85% |
6842
119.7 IPS |
