| User | Zztony |
| Upload Date | November 23 2025 12:52 PM |
| Views | 8 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-7700 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | System manufacturer System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. PRIME Z270-A |
| Power Plan | Balansert |
| CPU Information | |
|---|---|
| Name | Intel Core i7-7700 |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 9 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1111
206.6 IPS |
|
|
Image Classification (HP)
|
100% |
302
56.1 IPS |
|
|
Image Classification (Q)
|
96% |
1424
265.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
577
9.36 IPS |
|
|
Image Segmentation (HP)
|
100% |
385
6.25 IPS |
|
|
Image Segmentation (Q)
|
97% |
1686
27.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
2347
2.74 IPS |
|
|
Pose Estimation (HP)
|
100% |
1864
2.17 IPS |
|
|
Pose Estimation (Q)
|
86% |
3587
4.24 IPS |
|
|
Object Detection (SP)
|
100% |
759
60.2 IPS |
|
|
Object Detection (HP)
|
100% |
390
30.9 IPS |
|
|
Object Detection (Q)
|
58% |
1207
131.9 IPS |
|
|
Face Detection (SP)
|
100% |
2218
26.4 IPS |
|
|
Face Detection (HP)
|
100% |
889
10.6 IPS |
|
|
Face Detection (Q)
|
96% |
3736
44.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
2409
18.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
975
7.51 IPS |
|
|
Depth Estimation (Q)
|
78% |
3854
30.8 IPS |
|
|
Style Transfer (SP)
|
100% |
6441
8.28 IPS |
|
|
Style Transfer (HP)
|
100% |
4747
6.10 IPS |
|
|
Style Transfer (Q)
|
87% |
7315
9.52 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
975
36.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1152
42.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2239
83.0 IPS |
|
|
Text Classification (SP)
|
100% |
865
1.15 KIPS |
|
|
Text Classification (HP)
|
100% |
501
668.7 IPS |
|
|
Text Classification (Q)
|
97% |
805
1.08 KIPS |
|
|
Machine Translation (SP)
|
100% |
1505
25.9 IPS |
|
|
Machine Translation (HP)
|
100% |
580
9.99 IPS |
|
|
Machine Translation (Q)
|
68% |
1667
32.2 IPS |