| User | Meinlsync |
| Upload Date | August 28 2024 08:43 PM |
| Views | 11 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-11600K |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7C75 |
| Motherboard | Micro-Star International Co., Ltd. MPG Z490 GAMING PLUS (MS-7C75) |
| Power Plan | Ultimate Performance |
| CPU Information | |
|---|---|
| Name | Intel Core i5-11600K |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 167 Stepping 1 |
| Base Frequency | 3.91 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1922
357.5 IPS |
|
|
Image Classification (HP)
|
100% |
165
30.8 IPS |
|
|
Image Classification (Q)
|
99% |
3808
710.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1439
23.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
271
4.39 IPS |
|
|
Image Segmentation (Q)
|
98% |
2257
36.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
6127
7.15 IPS |
|
|
Pose Estimation (HP)
|
100% |
4848
5.66 IPS |
|
|
Pose Estimation (Q)
|
95% |
21385
25.1 IPS |
|
|
Object Detection (SP)
|
100% |
2136
169.5 IPS |
|
|
Object Detection (HP)
|
100% |
235
18.6 IPS |
|
|
Object Detection (Q)
|
88% |
2292
183.7 IPS |
|
|
Face Detection (SP)
|
100% |
2491
29.6 IPS |
|
|
Face Detection (HP)
|
100% |
336
3.99 IPS |
|
|
Face Detection (Q)
|
97% |
4480
53.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
6245
48.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
1050
8.09 IPS |
|
|
Depth Estimation (Q)
|
76% |
8566
69.0 IPS |
|
|
Style Transfer (SP)
|
100% |
14566
18.7 IPS |
|
|
Style Transfer (HP)
|
100% |
11735
15.1 IPS |
|
|
Style Transfer (Q)
|
98% |
20643
26.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2683
99.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2193
81.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4228
156.5 IPS |
|
|
Text Classification (SP)
|
100% |
1901
2.54 KIPS |
|
|
Text Classification (HP)
|
100% |
873
1.16 KIPS |
|
|
Text Classification (Q)
|
97% |
593
794.0 IPS |
|
|
Machine Translation (SP)
|
100% |
1938
33.4 IPS |
|
|
Machine Translation (HP)
|
100% |
713
12.3 IPS |
|
|
Machine Translation (Q)
|
60% |
2030
45.3 IPS |