| Upload Date | August 21 2024 04:39 PM | 
| Views | 28 | 
| AI Information | |
|---|---|
| Framework | ONNX | 
| Backend | CPU | 
| Device | Intel Core i7-5500U | 
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) | 
| Model | TOSHIBA SATELLITE L50-C | 
| Motherboard | FF50 06F2 | 
| Power Plan | Elevado desempenho | 
| CPU Information | |
|---|---|
| Name | Intel Core i7-5500U | 
| Topology | 1 Processor, 2 Cores, 4 Threads | 
| Identifier | GenuineIntel Family 6 Model 61 Stepping 4 | 
| Base Frequency | 2.39 GHz | 
| Cluster 1 | 2 Cores | 
| Memory Information | |
|---|---|
| Size | 8.00 GB | 
| Workload | Accuracy | Score | |
|---|---|---|---|
| 
Image Classification (SP)
 | 
100% | 
261
 48.5 IPS  | 
|
| 
Image Classification (HP)
 | 
100% | 
49
 9.04 IPS  | 
|
| 
Image Classification (Q)
 | 
97% | 
320
 59.8 IPS  | 
|
| 
Image Segmentation (SP)
 | 
100% | 
235
 3.80 IPS  | 
|
| 
Image Segmentation (HP)
 | 
100% | 
72
 1.17 IPS  | 
|
| 
Image Segmentation (Q)
 | 
97% | 
350
 5.69 IPS  | 
|
| 
Pose Estimation (SP)
 | 
100% | 
713
 0.83 IPS  | 
|
| 
Pose Estimation (HP)
 | 
100% | 
603
 0.70 IPS  | 
|
| 
Pose Estimation (Q)
 | 
87% | 
764
 0.90 IPS  | 
|
| 
Object Detection (SP)
 | 
100% | 
268
 21.3 IPS  | 
|
| 
Object Detection (HP)
 | 
100% | 
64
 5.10 IPS  | 
|
| 
Object Detection (Q)
 | 
86% | 
258
 20.8 IPS  | 
|
| 
Face Detection (SP)
 | 
100% | 
475
 5.65 IPS  | 
|
| 
Face Detection (HP)
 | 
100% | 
99
 1.18 IPS  | 
|
| 
Face Detection (Q)
 | 
96% | 
646
 7.71 IPS  | 
|
| 
Depth Estimation (SP)
 | 
100% | 
821
 6.32 IPS  | 
|
| 
Depth Estimation (HP)
 | 
99% | 
257
 1.98 IPS  | 
|
| 
Depth Estimation (Q)
 | 
76% | 
694
 5.59 IPS  | 
|
| 
Style Transfer (SP)
 | 
100% | 
1709
 2.20 IPS  | 
|
| 
Style Transfer (HP)
 | 
100% | 
1334
 1.71 IPS  | 
|
| 
Style Transfer (Q)
 | 
87% | 
1661
 2.16 IPS  | 
|
| 
Image Super-Resolution (SP)
 | 
100% | 
361
 13.3 IPS  | 
|
| 
Image Super-Resolution (HP)
 | 
100% | 
316
 11.7 IPS  | 
|
| 
Image Super-Resolution (Q)
 | 
97% | 
389
 14.4 IPS  | 
|
| 
Text Classification (SP)
 | 
100% | 
339
 453.0 IPS  | 
|
| 
Text Classification (HP)
 | 
100% | 
171
 228.4 IPS  | 
|
| 
Text Classification (Q)
 | 
97% | 
318
 425.9 IPS  | 
|
| 
Machine Translation (SP)
 | 
100% | 
437
 7.52 IPS  | 
|
| 
Machine Translation (HP)
 | 
100% | 
177
 3.05 IPS  | 
|
| 
Machine Translation (Q)
 | 
60% | 
380
 8.47 IPS  |