User | jordan147 |
Upload Date | December 14 2024 10:58 PM |
Views | 3 |
AI Information | |
---|---|
Framework | ONNX |
Backend | CPU |
Device | Intel Core i7-9750H |
System Information | |
---|---|
Operating System | Microsoft Windows 11 (64-bit) |
Model | LENOVO 81T0 |
Motherboard | LENOVO LNVNB161216 |
Power Plan | Advanced SystemCare |
CPU Information | |
---|---|
Name | Intel Core i7-9750H |
Topology | 1 Processor, 6 Cores, 12 Threads |
Identifier | GenuineIntel Family 6 Model 158 Stepping 10 |
Base Frequency | 2.59 GHz |
Cluster 1 | 6 Cores |
Memory Information | |
---|---|
Size | 16.00 GB |
Workload | Accuracy | Score | |
---|---|---|---|
Image Classification (SP)
|
100% |
1595
296.6 IPS |
|
Image Classification (HP)
|
100% |
334
62.1 IPS |
|
Image Classification (Q)
|
96% |
2381
444.6 IPS |
|
Image Segmentation (SP)
|
100% |
866
14.0 IPS |
|
Image Segmentation (HP)
|
100% |
530
8.60 IPS |
|
Image Segmentation (Q)
|
97% |
1600
26.0 IPS |
|
Pose Estimation (SP)
|
100% |
3067
3.58 IPS |
|
Pose Estimation (HP)
|
100% |
2417
2.82 IPS |
|
Pose Estimation (Q)
|
86% |
5660
6.69 IPS |
|
Object Detection (SP)
|
100% |
1490
118.1 IPS |
|
Object Detection (HP)
|
100% |
413
32.8 IPS |
|
Object Detection (Q)
|
58% |
1676
183.1 IPS |
|
Face Detection (SP)
|
100% |
2510
29.8 IPS |
|
Face Detection (HP)
|
100% |
861
10.2 IPS |
|
Face Detection (Q)
|
96% |
4535
54.1 IPS |
|
Depth Estimation (SP)
|
100% |
4288
33.0 IPS |
|
Depth Estimation (HP)
|
99% |
1218
9.38 IPS |
|
Depth Estimation (Q)
|
78% |
5510
44.0 IPS |
|
Style Transfer (SP)
|
100% |
7840
10.1 IPS |
|
Style Transfer (HP)
|
100% |
5977
7.68 IPS |
|
Style Transfer (Q)
|
87% |
9593
12.5 IPS |
|
Image Super-Resolution (SP)
|
100% |
1437
53.1 IPS |
|
Image Super-Resolution (HP)
|
100% |
1174
43.3 IPS |
|
Image Super-Resolution (Q)
|
97% |
1797
66.6 IPS |
|
Text Classification (SP)
|
100% |
1011
1.35 KIPS |
|
Text Classification (HP)
|
100% |
523
698.3 IPS |
|
Text Classification (Q)
|
97% |
906
1.21 KIPS |
|
Machine Translation (SP)
|
100% |
1300
22.4 IPS |
|
Machine Translation (HP)
|
100% |
492
8.48 IPS |
|
Machine Translation (Q)
|
68% |
1589
30.7 IPS |