| User | Toptaap123 |
| Upload Date | October 30 2024 07:39 AM |
| Views | 7 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce GTX 1070 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Dell Inc. Precision T1700 |
| Motherboard | Dell Inc. 04JGCK |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Core i7-4770 |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 60 Stepping 3 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1853
344.6 IPS |
|
|
Image Classification (HP)
|
100% |
2879
535.5 IPS |
|
|
Image Classification (Q)
|
100% |
1635
304.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
4561
73.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
4384
71.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
3883
63.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
56502
65.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
31521
36.8 IPS |
|
|
Pose Estimation (Q)
|
97% |
45635
53.4 IPS |
|
|
Object Detection (SP)
|
100% |
2556
202.7 IPS |
|
|
Object Detection (HP)
|
100% |
3847
305.1 IPS |
|
|
Object Detection (Q)
|
89% |
2122
169.8 IPS |
|
|
Face Detection (SP)
|
100% |
5051
60.0 IPS |
|
|
Face Detection (HP)
|
100% |
7317
86.9 IPS |
|
|
Face Detection (Q)
|
97% |
4315
51.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
16914
130.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
16059
124.1 IPS |
|
|
Depth Estimation (Q)
|
76% |
12955
104.2 IPS |
|
|
Style Transfer (SP)
|
100% |
92927
119.5 IPS |
|
|
Style Transfer (HP)
|
100% |
53985
69.4 IPS |
|
|
Style Transfer (Q)
|
98% |
70884
91.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15083
556.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12231
451.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
9727
360.2 IPS |
|
|
Text Classification (SP)
|
100% |
1462
1.95 KIPS |
|
|
Text Classification (HP)
|
100% |
1848
2.47 KIPS |
|
|
Text Classification (Q)
|
97% |
938
1.26 KIPS |
|
|
Machine Translation (SP)
|
100% |
2312
39.8 IPS |
|
|
Machine Translation (HP)
|
96% |
2236
38.7 IPS |
|
|
Machine Translation (Q)
|
60% |
1019
22.7 IPS |