User | vladuna |
Upload Date | May 23 2025 01:41 PM |
Views | 5 |
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 | 32.00 GB |
Workload | Accuracy | Score | |
---|---|---|---|
Image Classification (SP)
|
100% |
900
167.4 IPS |
|
Image Classification (HP)
|
100% |
265
49.3 IPS |
|
Image Classification (Q)
|
96% |
1152
215.1 IPS |
|
Image Segmentation (SP)
|
100% |
627
10.2 IPS |
|
Image Segmentation (HP)
|
100% |
380
6.16 IPS |
|
Image Segmentation (Q)
|
97% |
712
11.6 IPS |
|
Pose Estimation (SP)
|
100% |
1725
2.01 IPS |
|
Pose Estimation (HP)
|
100% |
1346
1.57 IPS |
|
Pose Estimation (Q)
|
86% |
2121
2.51 IPS |
|
Object Detection (SP)
|
100% |
808
64.1 IPS |
|
Object Detection (HP)
|
100% |
303
24.0 IPS |
|
Object Detection (Q)
|
58% |
713
77.9 IPS |
|
Face Detection (SP)
|
100% |
1676
19.9 IPS |
|
Face Detection (HP)
|
100% |
658
7.82 IPS |
|
Face Detection (Q)
|
96% |
2268
27.1 IPS |
|
Depth Estimation (SP)
|
100% |
2014
15.5 IPS |
|
Depth Estimation (HP)
|
99% |
864
6.65 IPS |
|
Depth Estimation (Q)
|
78% |
2505
20.0 IPS |
|
Style Transfer (SP)
|
100% |
3847
4.94 IPS |
|
Style Transfer (HP)
|
100% |
3003
3.86 IPS |
|
Style Transfer (Q)
|
87% |
4587
5.97 IPS |
|
Image Super-Resolution (SP)
|
100% |
830
30.7 IPS |
|
Image Super-Resolution (HP)
|
100% |
711
26.3 IPS |
|
Image Super-Resolution (Q)
|
97% |
877
32.5 IPS |
|
Text Classification (SP)
|
100% |
687
917.3 IPS |
|
Text Classification (HP)
|
100% |
476
635.3 IPS |
|
Text Classification (Q)
|
97% |
303
405.4 IPS |
|
Machine Translation (SP)
|
100% |
758
13.1 IPS |
|
Machine Translation (HP)
|
100% |
351
6.05 IPS |
|
Machine Translation (Q)
|
68% |
954
18.4 IPS |