| Upload Date | August 22 2025 12:12 AM |
| Views | 4 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-7700K |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | System manufacturer System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. MAXIMUS VIII HERO |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Core i7-7700K |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 9 |
| Base Frequency | 4.20 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1827
339.8 IPS |
|
|
Image Classification (HP)
|
100% |
445
82.8 IPS |
|
|
Image Classification (Q)
|
96% |
2661
497.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
957
15.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
645
10.5 IPS |
|
|
Image Segmentation (Q)
|
97% |
3133
51.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
3781
4.41 IPS |
|
|
Pose Estimation (HP)
|
100% |
3086
3.60 IPS |
|
|
Pose Estimation (Q)
|
86% |
6309
7.46 IPS |
|
|
Object Detection (SP)
|
100% |
1730
137.2 IPS |
|
|
Object Detection (HP)
|
100% |
558
44.3 IPS |
|
|
Object Detection (Q)
|
58% |
1901
207.7 IPS |
|
|
Face Detection (SP)
|
100% |
2985
35.5 IPS |
|
|
Face Detection (HP)
|
100% |
1157
13.8 IPS |
|
|
Face Detection (Q)
|
96% |
4948
59.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
4508
34.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
1627
12.5 IPS |
|
|
Depth Estimation (Q)
|
78% |
6276
50.1 IPS |
|
|
Style Transfer (SP)
|
100% |
9031
11.6 IPS |
|
|
Style Transfer (HP)
|
100% |
7062
9.08 IPS |
|
|
Style Transfer (Q)
|
87% |
10309
13.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1713
63.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1550
57.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2912
107.9 IPS |
|
|
Text Classification (SP)
|
100% |
1540
2.06 KIPS |
|
|
Text Classification (HP)
|
100% |
828
1.11 KIPS |
|
|
Text Classification (Q)
|
97% |
1250
1.67 KIPS |
|
|
Machine Translation (SP)
|
100% |
1750
30.1 IPS |
|
|
Machine Translation (HP)
|
100% |
677
11.7 IPS |
|
|
Machine Translation (Q)
|
68% |
1895
36.6 IPS |