| User | Meinlsync |
| Upload Date | August 28 2024 04:02 PM |
| Views | 6 |
| 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% |
1453
270.3 IPS |
|
|
Image Classification (HP)
|
100% |
158
29.4 IPS |
|
|
Image Classification (Q)
|
99% |
3358
626.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
993
16.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
241
3.91 IPS |
|
|
Image Segmentation (Q)
|
98% |
2184
35.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
4169
4.87 IPS |
|
|
Pose Estimation (HP)
|
100% |
4304
5.02 IPS |
|
|
Pose Estimation (Q)
|
95% |
20332
23.8 IPS |
|
|
Object Detection (SP)
|
100% |
1928
152.9 IPS |
|
|
Object Detection (HP)
|
100% |
226
17.9 IPS |
|
|
Object Detection (Q)
|
88% |
2002
160.5 IPS |
|
|
Face Detection (SP)
|
100% |
2331
27.7 IPS |
|
|
Face Detection (HP)
|
100% |
326
3.88 IPS |
|
|
Face Detection (Q)
|
97% |
4225
50.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
4966
38.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
994
7.66 IPS |
|
|
Depth Estimation (Q)
|
76% |
7862
63.3 IPS |
|
|
Style Transfer (SP)
|
100% |
11110
14.3 IPS |
|
|
Style Transfer (HP)
|
100% |
9471
12.2 IPS |
|
|
Style Transfer (Q)
|
98% |
18381
23.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2500
92.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1886
69.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4163
154.2 IPS |
|
|
Text Classification (SP)
|
100% |
1956
2.61 KIPS |
|
|
Text Classification (HP)
|
100% |
838
1.12 KIPS |
|
|
Text Classification (Q)
|
97% |
579
775.1 IPS |
|
|
Machine Translation (SP)
|
100% |
1752
30.2 IPS |
|
|
Machine Translation (HP)
|
100% |
662
11.4 IPS |
|
|
Machine Translation (Q)
|
60% |
1948
43.5 IPS |