Micro-Star International Co., Ltd. MS-7E06
Geekbench AI Score
3768
Single Precision Score
876
Half Precision Score
5188
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | Estudio-Iron |
| Upload Date | August 18 2024 06:29 PM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-12700KF |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7E06 |
| Motherboard | Micro-Star International Co., Ltd. PRO Z790-P WIFI (MS-7E06) |
| Power Plan | Alto rendimiento |
| CPU Information | |
|---|---|
| Name | Intel Core i7-12700KF |
| Topology | 1 Processor, 12 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 151 Stepping 2 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2163
402.3 IPS |
|
|
Image Classification (HP)
|
100% |
169
31.5 IPS |
|
|
Image Classification (Q)
|
99% |
3901
727.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1927
31.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
296
4.81 IPS |
|
|
Image Segmentation (Q)
|
98% |
3202
52.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
7694
8.98 IPS |
|
|
Pose Estimation (HP)
|
100% |
4501
5.25 IPS |
|
|
Pose Estimation (Q)
|
95% |
25113
29.4 IPS |
|
|
Object Detection (SP)
|
100% |
2397
190.2 IPS |
|
|
Object Detection (HP)
|
100% |
247
19.6 IPS |
|
|
Object Detection (Q)
|
88% |
2271
182.0 IPS |
|
|
Face Detection (SP)
|
100% |
4001
47.5 IPS |
|
|
Face Detection (HP)
|
100% |
352
4.18 IPS |
|
|
Face Detection (Q)
|
97% |
4566
54.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8436
65.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
1109
8.54 IPS |
|
|
Depth Estimation (Q)
|
76% |
9208
74.2 IPS |
|
|
Style Transfer (SP)
|
100% |
18220
23.4 IPS |
|
|
Style Transfer (HP)
|
100% |
11252
14.5 IPS |
|
|
Style Transfer (Q)
|
98% |
22906
29.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3314
122.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2131
78.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4608
170.6 IPS |
|
|
Text Classification (SP)
|
100% |
1751
2.34 KIPS |
|
|
Text Classification (HP)
|
100% |
695
928.1 IPS |
|
|
Text Classification (Q)
|
97% |
1760
2.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
2104
36.2 IPS |
|
|
Machine Translation (HP)
|
100% |
738
12.7 IPS |
|
|
Machine Translation (Q)
|
60% |
2540
56.7 IPS |
