User | TiggerTH |
Upload Date | September 07 2024 02:34 AM |
Views | 11 |
AI Information | |
---|---|
Framework | ONNX |
Backend | DirectML |
Device | NVIDIA GeForce GTX 1650 |
System Information | |
---|---|
Operating System | Microsoft Windows 11 Pro (64-bit) |
Model | LENOVO 81SY |
Motherboard | LENOVO LNVNB161216 |
CPU Information | |
---|---|
Name | Intel Core i5-9300H |
Topology | 1 Processor, 4 Cores, 8 Threads |
Identifier | GenuineIntel Family 6 Model 158 Stepping 10 |
Base Frequency | 2.40 GHz |
Cluster 1 | 4 Cores |
Memory Information | |
---|---|
Size | 32.00 GB |
Workload | Accuracy | Score | |
---|---|---|---|
Image Classification (SP)
|
100% |
2353
437.6 IPS |
|
Image Classification (HP)
|
100% |
2264
421.1 IPS |
|
Image Classification (Q)
|
100% |
1777
330.4 IPS |
|
Image Segmentation (SP)
|
100% |
3953
64.1 IPS |
|
Image Segmentation (HP)
|
100% |
3821
61.9 IPS |
|
Image Segmentation (Q)
|
98% |
3284
53.4 IPS |
|
Pose Estimation (SP)
|
100% |
25871
30.2 IPS |
|
Pose Estimation (HP)
|
100% |
17039
19.9 IPS |
|
Pose Estimation (Q)
|
97% |
21809
25.5 IPS |
|
Object Detection (SP)
|
100% |
3256
258.2 IPS |
|
Object Detection (HP)
|
100% |
3056
242.4 IPS |
|
Object Detection (Q)
|
89% |
2243
179.6 IPS |
|
Face Detection (SP)
|
100% |
5802
68.9 IPS |
|
Face Detection (HP)
|
100% |
5919
70.3 IPS |
|
Face Detection (Q)
|
97% |
4524
53.9 IPS |
|
Depth Estimation (SP)
|
100% |
14386
110.8 IPS |
|
Depth Estimation (HP)
|
99% |
11782
90.8 IPS |
|
Depth Estimation (Q)
|
76% |
10472
84.3 IPS |
|
Style Transfer (SP)
|
100% |
48346
62.1 IPS |
|
Style Transfer (HP)
|
100% |
34102
43.8 IPS |
|
Style Transfer (Q)
|
98% |
38978
50.3 IPS |
|
Image Super-Resolution (SP)
|
100% |
8251
304.7 IPS |
|
Image Super-Resolution (HP)
|
100% |
7328
270.6 IPS |
|
Image Super-Resolution (Q)
|
99% |
5871
217.4 IPS |
|
Text Classification (SP)
|
100% |
1593
2.13 KIPS |
|
Text Classification (HP)
|
100% |
1169
1.56 KIPS |
|
Text Classification (Q)
|
97% |
895
1.20 KIPS |
|
Machine Translation (SP)
|
100% |
2114
36.4 IPS |
|
Machine Translation (HP)
|
98% |
2136
36.9 IPS |
|
Machine Translation (Q)
|
60% |
850
19.0 IPS |