| Upload Date | August 11 2024 10:49 AM |
| Views | 14 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-1165G7 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Intel(R) Client Systems NUC11PHi7 |
| Motherboard | Intel Corporation NUC11PHBi7 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-1165G7 |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 140 Stepping 1 |
| Base Frequency | 2.80 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1327
246.7 IPS |
|
|
Image Classification (HP)
|
100% |
127
23.6 IPS |
|
|
Image Classification (Q)
|
99% |
2591
483.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
984
16.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
200
3.25 IPS |
|
|
Image Segmentation (Q)
|
98% |
1603
26.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
3361
3.92 IPS |
|
|
Pose Estimation (HP)
|
100% |
2678
3.13 IPS |
|
|
Pose Estimation (Q)
|
95% |
11552
13.5 IPS |
|
|
Object Detection (SP)
|
100% |
1409
111.8 IPS |
|
|
Object Detection (HP)
|
100% |
179
14.2 IPS |
|
|
Object Detection (Q)
|
88% |
1536
123.1 IPS |
|
|
Face Detection (SP)
|
100% |
1671
19.8 IPS |
|
|
Face Detection (HP)
|
100% |
255
3.03 IPS |
|
|
Face Detection (Q)
|
97% |
3210
38.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
3912
30.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
783
6.03 IPS |
|
|
Depth Estimation (Q)
|
76% |
5363
43.2 IPS |
|
|
Style Transfer (SP)
|
100% |
8147
10.5 IPS |
|
|
Style Transfer (HP)
|
100% |
6436
8.27 IPS |
|
|
Style Transfer (Q)
|
98% |
12602
16.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1588
58.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1398
51.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2885
106.8 IPS |
|
|
Text Classification (SP)
|
100% |
1339
1.79 KIPS |
|
|
Text Classification (HP)
|
100% |
628
837.8 IPS |
|
|
Text Classification (Q)
|
97% |
433
579.7 IPS |
|
|
Machine Translation (SP)
|
100% |
1479
25.5 IPS |
|
|
Machine Translation (HP)
|
100% |
505
8.71 IPS |
|
|
Machine Translation (Q)
|
60% |
1410
31.5 IPS |