| User | kamrankhoxa |
| Upload Date | October 13 2024 07:01 PM |
| Views | 6 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA Quadro RTX 4000 with Max-Q Design |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Dell Inc. Precision 7550 |
| Motherboard | Dell Inc. 0WN3FK |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-10875H |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 165 Stepping 2 |
| Base Frequency | 2.30 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4369
812.5 IPS |
|
|
Image Classification (HP)
|
100% |
7014
1.30 KIPS |
|
|
Image Classification (Q)
|
100% |
3199
595.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
6380
103.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
7725
125.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
5494
89.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
54242
63.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
157096
183.3 IPS |
|
|
Pose Estimation (Q)
|
97% |
46636
54.6 IPS |
|
|
Object Detection (SP)
|
100% |
5372
426.1 IPS |
|
|
Object Detection (HP)
|
100% |
8228
652.7 IPS |
|
|
Object Detection (Q)
|
89% |
3908
312.8 IPS |
|
|
Face Detection (SP)
|
100% |
12099
143.8 IPS |
|
|
Face Detection (HP)
|
100% |
16398
194.8 IPS |
|
|
Face Detection (Q)
|
97% |
9445
112.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
27694
213.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
49611
382.2 IPS |
|
|
Depth Estimation (Q)
|
76% |
19016
153.1 IPS |
|
|
Style Transfer (SP)
|
100% |
95407
122.6 IPS |
|
|
Style Transfer (HP)
|
100% |
225721
290.2 IPS |
|
|
Style Transfer (Q)
|
98% |
80508
103.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
18392
679.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
26514
979.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
11493
425.6 IPS |
|
|
Text Classification (SP)
|
100% |
1531
2.04 KIPS |
|
|
Text Classification (HP)
|
99% |
2204
2.94 KIPS |
|
|
Text Classification (Q)
|
97% |
876
1.17 KIPS |
|
|
Machine Translation (SP)
|
100% |
1920
33.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1884
32.5 IPS |
|
|
Machine Translation (Q)
|
60% |
791
17.6 IPS |