| User | Zucker2k |
| Upload Date | February 14 2026 05:57 PM |
| Views | 7 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-6700HQ |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Enterprise N (64-bit) |
| Model | LENOVO 80NW |
| Motherboard | LENOVO Allsparks 5A2 |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Core i7-6700HQ |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 94 Stepping 3 |
| Base Frequency | 2.59 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1282
238.4 IPS |
|
|
Image Classification (HP)
|
100% |
340
63.3 IPS |
|
|
Image Classification (Q)
|
96% |
1701
317.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
753
12.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
479
7.76 IPS |
|
|
Image Segmentation (Q)
|
97% |
1401
22.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
2540
2.96 IPS |
|
|
Pose Estimation (HP)
|
100% |
2082
2.43 IPS |
|
|
Pose Estimation (Q)
|
86% |
4254
5.03 IPS |
|
|
Object Detection (SP)
|
100% |
1215
96.4 IPS |
|
|
Object Detection (HP)
|
100% |
420
33.3 IPS |
|
|
Object Detection (Q)
|
58% |
1148
125.4 IPS |
|
|
Face Detection (SP)
|
100% |
2544
30.2 IPS |
|
|
Face Detection (HP)
|
100% |
917
10.9 IPS |
|
|
Face Detection (Q)
|
96% |
3226
38.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
3160
24.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
1199
9.24 IPS |
|
|
Depth Estimation (Q)
|
78% |
4321
34.5 IPS |
|
|
Style Transfer (SP)
|
100% |
6191
7.96 IPS |
|
|
Style Transfer (HP)
|
100% |
4614
5.93 IPS |
|
|
Style Transfer (Q)
|
87% |
7685
10.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1125
41.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1016
37.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1933
71.6 IPS |
|
|
Text Classification (SP)
|
100% |
1036
1.38 KIPS |
|
|
Text Classification (HP)
|
100% |
540
720.2 IPS |
|
|
Text Classification (Q)
|
97% |
312
417.3 IPS |
|
|
Machine Translation (SP)
|
100% |
1353
23.3 IPS |
|
|
Machine Translation (HP)
|
100% |
514
8.86 IPS |
|
|
Machine Translation (Q)
|
68% |
1324
25.6 IPS |