User | black_michael |
Upload Date | December 08 2024 07:13 AM |
Views | 8 |
AI Information | |
---|---|
Framework | ONNX |
Backend | DirectML |
Device | NVIDIA GeForce GTX 1070 |
System Information | |
---|---|
Operating System | Microsoft Windows 10 Home (64-bit) |
Model | Alienware Alienware 17 R4 |
Motherboard | Alienware Alienware 17 R4 |
Power Plan | High performance |
CPU Information | |
---|---|
Name | Intel Core i7-6820HK |
Topology | 1 Processor, 4 Cores, 8 Threads |
Identifier | GenuineIntel Family 6 Model 94 Stepping 3 |
Base Frequency | 2.70 GHz |
Cluster 1 | 4 Cores |
Memory Information | |
---|---|
Size | 32.00 GB |
Workload | Accuracy | Score | |
---|---|---|---|
Image Classification (SP)
|
100% |
2636
490.1 IPS |
|
Image Classification (HP)
|
100% |
2755
512.3 IPS |
|
Image Classification (Q)
|
99% |
2244
418.6 IPS |
|
Image Segmentation (SP)
|
100% |
3615
58.6 IPS |
|
Image Segmentation (HP)
|
100% |
3861
62.6 IPS |
|
Image Segmentation (Q)
|
98% |
3176
51.6 IPS |
|
Pose Estimation (SP)
|
100% |
28422
33.2 IPS |
|
Pose Estimation (HP)
|
100% |
28193
32.9 IPS |
|
Pose Estimation (Q)
|
98% |
25064
29.3 IPS |
|
Object Detection (SP)
|
100% |
3350
265.7 IPS |
|
Object Detection (HP)
|
100% |
3612
286.5 IPS |
|
Object Detection (Q)
|
85% |
2861
230.4 IPS |
|
Face Detection (SP)
|
100% |
6066
72.1 IPS |
|
Face Detection (HP)
|
100% |
6921
82.2 IPS |
|
Face Detection (Q)
|
97% |
5347
63.8 IPS |
|
Depth Estimation (SP)
|
100% |
15115
116.5 IPS |
|
Depth Estimation (HP)
|
99% |
15112
116.8 IPS |
|
Depth Estimation (Q)
|
77% |
12160
97.1 IPS |
|
Style Transfer (SP)
|
100% |
66294
85.2 IPS |
|
Style Transfer (HP)
|
100% |
47110
60.6 IPS |
|
Style Transfer (Q)
|
98% |
55042
71.0 IPS |
|
Image Super-Resolution (SP)
|
100% |
10105
373.1 IPS |
|
Image Super-Resolution (HP)
|
100% |
10190
376.3 IPS |
|
Image Super-Resolution (Q)
|
99% |
7553
279.7 IPS |
|
Text Classification (SP)
|
100% |
1248
1.67 KIPS |
|
Text Classification (HP)
|
100% |
1333
1.78 KIPS |
|
Text Classification (Q)
|
97% |
816
1.09 KIPS |
|
Machine Translation (SP)
|
100% |
1646
28.4 IPS |
|
Machine Translation (HP)
|
96% |
1629
28.2 IPS |
|
Machine Translation (Q)
|
70% |
991
18.6 IPS |