| User | jlebreault |
| Upload Date | August 18 2024 02:52 AM |
| Views | 10 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3060 Laptop GPU |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Dell Inc. XPS 17 9710 |
| Motherboard | Dell Inc. 00D5DG |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i9-11900H |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 141 Stepping 1 |
| Base Frequency | 2.50 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4948
920.2 IPS |
|
|
Image Classification (HP)
|
99% |
7808
1.46 KIPS |
|
|
Image Classification (Q)
|
100% |
3765
700.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
7391
119.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
11025
178.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
6230
101.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
53458
62.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
160162
186.9 IPS |
|
|
Pose Estimation (Q)
|
97% |
46106
54.0 IPS |
|
|
Object Detection (SP)
|
100% |
6031
478.4 IPS |
|
|
Object Detection (HP)
|
100% |
10851
860.7 IPS |
|
|
Object Detection (Q)
|
89% |
4843
387.8 IPS |
|
|
Face Detection (SP)
|
100% |
12758
151.6 IPS |
|
|
Face Detection (HP)
|
100% |
20276
240.9 IPS |
|
|
Face Detection (Q)
|
97% |
9845
117.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
27686
213.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
59054
455.0 IPS |
|
|
Depth Estimation (Q)
|
71% |
19710
163.7 IPS |
|
|
Style Transfer (SP)
|
100% |
102252
131.4 IPS |
|
|
Style Transfer (HP)
|
100% |
264088
339.5 IPS |
|
|
Style Transfer (Q)
|
98% |
81370
104.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
18107
668.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
32188
1.19 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
11831
438.1 IPS |
|
|
Text Classification (SP)
|
100% |
2156
2.88 KIPS |
|
|
Text Classification (HP)
|
99% |
2980
3.98 KIPS |
|
|
Text Classification (Q)
|
97% |
1141
1.53 KIPS |
|
|
Machine Translation (SP)
|
100% |
2520
43.4 IPS |
|
|
Machine Translation (HP)
|
100% |
2564
44.2 IPS |
|
|
Machine Translation (Q)
|
60% |
992
22.1 IPS |