| User | YYKatib |
| Upload Date | April 20 2026 04:34 AM |
| Views | 8 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-11370H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home Single Language (64-bit) |
| Model | ASUSTeK COMPUTER INC. Vivobook_ASUSLaptop X3500PCB |
| Motherboard | ASUSTeK COMPUTER INC. X3500PCB |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-11370H |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 140 Stepping 1 |
| Base Frequency | 3.30 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1385
257.5 IPS |
|
|
Image Classification (HP)
|
100% |
388
72.1 IPS |
|
|
Image Classification (Q)
|
99% |
3861
720.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
754
12.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
566
9.18 IPS |
|
|
Image Segmentation (Q)
|
98% |
4107
66.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
2597
3.03 IPS |
|
|
Pose Estimation (HP)
|
100% |
2164
2.53 IPS |
|
|
Pose Estimation (Q)
|
94% |
9308
10.9 IPS |
|
|
Object Detection (SP)
|
100% |
1439
114.2 IPS |
|
|
Object Detection (HP)
|
100% |
479
38.0 IPS |
|
|
Object Detection (Q)
|
86% |
3570
287.0 IPS |
|
|
Face Detection (SP)
|
100% |
2485
29.5 IPS |
|
|
Face Detection (HP)
|
100% |
952
11.3 IPS |
|
|
Face Detection (Q)
|
97% |
5785
69.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
3219
24.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
1380
10.6 IPS |
|
|
Depth Estimation (Q)
|
78% |
7930
63.3 IPS |
|
|
Style Transfer (SP)
|
100% |
6300
8.10 IPS |
|
|
Style Transfer (HP)
|
100% |
5256
6.76 IPS |
|
|
Style Transfer (Q)
|
98% |
11227
14.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1205
44.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1056
39.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3675
136.1 IPS |
|
|
Text Classification (SP)
|
100% |
1367
1.82 KIPS |
|
|
Text Classification (HP)
|
100% |
748
999.0 IPS |
|
|
Text Classification (Q)
|
97% |
1264
1.69 KIPS |
|
|
Machine Translation (SP)
|
100% |
1341
23.1 IPS |
|
|
Machine Translation (HP)
|
100% |
569
9.80 IPS |
|
|
Machine Translation (Q)
|
65% |
1830
36.8 IPS |