User | sso7746 |
Upload Date | December 31 2024 06:02 PM |
Views | 3 |
AI Information | |
---|---|
Framework | ONNX |
Backend | CPU |
Device | Intel Core i3-10105 |
System Information | |
---|---|
Operating System | Microsoft Windows 11 Pro (64-bit) |
Model | Gigabyte Technology Co., Ltd. H410M H V3 |
Motherboard | Gigabyte Technology Co., Ltd. H410M H V3 |
CPU Information | |
---|---|
Name | Intel Core i3-10105 |
Topology | 1 Processor, 4 Cores, 8 Threads |
Identifier | GenuineIntel Family 6 Model 165 Stepping 3 |
Base Frequency | 3.70 GHz |
Cluster 1 | 4 Cores |
Memory Information | |
---|---|
Size | 16.00 GB |
Workload | Accuracy | Score | |
---|---|---|---|
Image Classification (SP)
|
100% |
1272
236.6 IPS |
|
Image Classification (HP)
|
100% |
366
68.1 IPS |
|
Image Classification (Q)
|
96% |
2004
374.1 IPS |
|
Image Segmentation (SP)
|
100% |
612
9.92 IPS |
|
Image Segmentation (HP)
|
100% |
476
7.71 IPS |
|
Image Segmentation (Q)
|
97% |
1462
23.8 IPS |
|
Pose Estimation (SP)
|
100% |
2744
3.20 IPS |
|
Pose Estimation (HP)
|
100% |
2328
2.72 IPS |
|
Pose Estimation (Q)
|
86% |
5281
6.24 IPS |
|
Object Detection (SP)
|
100% |
1157
91.8 IPS |
|
Object Detection (HP)
|
100% |
427
33.9 IPS |
|
Object Detection (Q)
|
58% |
1503
164.2 IPS |
|
Face Detection (SP)
|
100% |
1614
19.2 IPS |
|
Face Detection (HP)
|
100% |
807
9.58 IPS |
|
Face Detection (Q)
|
96% |
3619
43.2 IPS |
|
Depth Estimation (SP)
|
100% |
3301
25.4 IPS |
|
Depth Estimation (HP)
|
99% |
1316
10.1 IPS |
|
Depth Estimation (Q)
|
78% |
4761
38.0 IPS |
|
Style Transfer (SP)
|
100% |
6758
8.69 IPS |
|
Style Transfer (HP)
|
100% |
5602
7.20 IPS |
|
Style Transfer (Q)
|
87% |
6894
8.97 IPS |
|
Image Super-Resolution (SP)
|
100% |
1261
46.6 IPS |
|
Image Super-Resolution (HP)
|
100% |
1098
40.5 IPS |
|
Image Super-Resolution (Q)
|
97% |
1736
64.3 IPS |
|
Text Classification (SP)
|
100% |
1145
1.53 KIPS |
|
Text Classification (HP)
|
100% |
614
819.2 IPS |
|
Text Classification (Q)
|
97% |
1033
1.38 KIPS |
|
Machine Translation (SP)
|
100% |
1073
18.5 IPS |
|
Machine Translation (HP)
|
100% |
439
7.56 IPS |
|
Machine Translation (Q)
|
68% |
1185
22.9 IPS |