User | sfuller67 |
Upload Date | February 06 2025 12:54 PM |
Views | 5 |
AI Information | |
---|---|
Framework | ONNX |
Backend | CPU |
Device | Intel Core i7-10700 |
System Information | |
---|---|
Operating System | Microsoft Windows 11 Pro (64-bit) |
Model | Gigabyte Technology Co., Ltd. Z490M GAMING X |
Motherboard | Gigabyte Technology Co., Ltd. Z490M GAMING X |
Power Plan | Balanced |
CPU Information | |
---|---|
Name | Intel Core i7-10700 |
Topology | 1 Processor, 8 Cores, 16 Threads |
Identifier | GenuineIntel Family 6 Model 165 Stepping 5 |
Base Frequency | 2.90 GHz |
Cluster 1 | 8 Cores |
Memory Information | |
---|---|
Size | 32.00 GB |
Workload | Accuracy | Score | |
---|---|---|---|
Image Classification (SP)
|
100% |
2978
553.8 IPS |
|
Image Classification (HP)
|
100% |
520
96.7 IPS |
|
Image Classification (Q)
|
96% |
4307
804.3 IPS |
|
Image Segmentation (SP)
|
100% |
1579
25.6 IPS |
|
Image Segmentation (HP)
|
100% |
797
12.9 IPS |
|
Image Segmentation (Q)
|
97% |
2037
33.1 IPS |
|
Pose Estimation (SP)
|
100% |
6156
7.18 IPS |
|
Pose Estimation (HP)
|
100% |
5196
6.06 IPS |
|
Pose Estimation (Q)
|
86% |
11651
13.8 IPS |
|
Object Detection (SP)
|
100% |
2864
227.1 IPS |
|
Object Detection (HP)
|
100% |
660
52.4 IPS |
|
Object Detection (Q)
|
58% |
2478
270.7 IPS |
|
Face Detection (SP)
|
100% |
3796
45.1 IPS |
|
Face Detection (HP)
|
100% |
1315
15.6 IPS |
|
Face Detection (Q)
|
96% |
6579
78.5 IPS |
|
Depth Estimation (SP)
|
100% |
8348
64.3 IPS |
|
Depth Estimation (HP)
|
99% |
2175
16.8 IPS |
|
Depth Estimation (Q)
|
78% |
9803
78.2 IPS |
|
Style Transfer (SP)
|
100% |
15340
19.7 IPS |
|
Style Transfer (HP)
|
100% |
12720
16.4 IPS |
|
Style Transfer (Q)
|
87% |
14982
19.5 IPS |
|
Image Super-Resolution (SP)
|
100% |
2589
95.6 IPS |
|
Image Super-Resolution (HP)
|
100% |
2221
82.0 IPS |
|
Image Super-Resolution (Q)
|
97% |
2953
109.4 IPS |
|
Text Classification (SP)
|
100% |
1575
2.10 KIPS |
|
Text Classification (HP)
|
100% |
760
1.01 KIPS |
|
Text Classification (Q)
|
97% |
457
611.7 IPS |
|
Machine Translation (SP)
|
100% |
2037
35.1 IPS |
|
Machine Translation (HP)
|
100% |
657
11.3 IPS |
|
Machine Translation (Q)
|
68% |
2084
40.3 IPS |