User | vladuna |
Upload Date | March 04 2025 04:20 PM |
Views | 4 |
AI Information | |
---|---|
Framework | ONNX |
Backend | CPU |
Device | Intel Core i7-4770 |
System Information | |
---|---|
Operating System | Microsoft Windows 10 Pro (64-bit) |
Model | Gigabyte Technology Co., Ltd. H97M-D3H |
Motherboard | Gigabyte Technology Co., Ltd. H97M-D3H |
Power Plan | Balanced |
CPU Information | |
---|---|
Name | Intel Core i7-4770 |
Topology | 1 Processor, 4 Cores, 8 Threads |
Identifier | GenuineIntel Family 6 Model 60 Stepping 3 |
Base Frequency | 3.40 GHz |
Cluster 1 | 4 Cores |
Memory Information | |
---|---|
Size | 16.00 GB |
Workload | Accuracy | Score | |
---|---|---|---|
Image Classification (SP)
|
100% |
741
137.9 IPS |
|
Image Classification (HP)
|
100% |
239
44.4 IPS |
|
Image Classification (Q)
|
96% |
1064
198.8 IPS |
|
Image Segmentation (SP)
|
100% |
447
7.24 IPS |
|
Image Segmentation (HP)
|
100% |
356
5.77 IPS |
|
Image Segmentation (Q)
|
97% |
730
11.9 IPS |
|
Pose Estimation (SP)
|
100% |
1575
1.84 IPS |
|
Pose Estimation (HP)
|
100% |
1473
1.72 IPS |
|
Pose Estimation (Q)
|
86% |
2265
2.68 IPS |
|
Object Detection (SP)
|
100% |
685
54.4 IPS |
|
Object Detection (HP)
|
100% |
291
23.1 IPS |
|
Object Detection (Q)
|
58% |
708
77.4 IPS |
|
Face Detection (SP)
|
100% |
957
11.4 IPS |
|
Face Detection (HP)
|
100% |
568
6.75 IPS |
|
Face Detection (Q)
|
96% |
2098
25.0 IPS |
|
Depth Estimation (SP)
|
100% |
2014
15.5 IPS |
|
Depth Estimation (HP)
|
99% |
827
6.38 IPS |
|
Depth Estimation (Q)
|
78% |
2445
19.5 IPS |
|
Style Transfer (SP)
|
100% |
4145
5.33 IPS |
|
Style Transfer (HP)
|
100% |
3235
4.16 IPS |
|
Style Transfer (Q)
|
87% |
3645
4.74 IPS |
|
Image Super-Resolution (SP)
|
100% |
699
25.8 IPS |
|
Image Super-Resolution (HP)
|
100% |
704
26.0 IPS |
|
Image Super-Resolution (Q)
|
97% |
885
32.8 IPS |
|
Text Classification (SP)
|
100% |
867
1.16 KIPS |
|
Text Classification (HP)
|
100% |
350
466.9 IPS |
|
Text Classification (Q)
|
97% |
326
436.9 IPS |
|
Machine Translation (SP)
|
100% |
554
9.54 IPS |
|
Machine Translation (HP)
|
100% |
279
4.81 IPS |
|
Machine Translation (Q)
|
68% |
767
14.8 IPS |