| User | vladuna |
| Upload Date | February 05 2026 03:59 AM |
| Views | 6 |
| 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% |
1023
190.3 IPS |
|
|
Image Classification (HP)
|
100% |
291
54.2 IPS |
|
|
Image Classification (Q)
|
96% |
1246
232.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
613
9.94 IPS |
|
|
Image Segmentation (HP)
|
100% |
429
6.96 IPS |
|
|
Image Segmentation (Q)
|
97% |
827
13.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
2194
2.56 IPS |
|
|
Pose Estimation (HP)
|
100% |
1626
1.90 IPS |
|
|
Pose Estimation (Q)
|
86% |
2498
2.95 IPS |
|
|
Object Detection (SP)
|
100% |
977
77.5 IPS |
|
|
Object Detection (HP)
|
100% |
353
28.0 IPS |
|
|
Object Detection (Q)
|
58% |
827
90.4 IPS |
|
|
Face Detection (SP)
|
100% |
1741
20.7 IPS |
|
|
Face Detection (HP)
|
100% |
747
8.87 IPS |
|
|
Face Detection (Q)
|
96% |
2716
32.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
2439
18.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
1013
7.81 IPS |
|
|
Depth Estimation (Q)
|
78% |
2817
22.5 IPS |
|
|
Style Transfer (SP)
|
100% |
4813
6.19 IPS |
|
|
Style Transfer (HP)
|
100% |
3858
4.96 IPS |
|
|
Style Transfer (Q)
|
87% |
5200
6.77 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
883
32.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
806
29.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
994
36.8 IPS |
|
|
Text Classification (SP)
|
100% |
796
1.06 KIPS |
|
|
Text Classification (HP)
|
100% |
434
578.8 IPS |
|
|
Text Classification (Q)
|
97% |
325
435.3 IPS |
|
|
Machine Translation (SP)
|
100% |
872
15.0 IPS |
|
|
Machine Translation (HP)
|
100% |
374
6.44 IPS |
|
|
Machine Translation (Q)
|
68% |
1064
20.5 IPS |