| User | hrichl |
| Upload Date | April 25 2025 10:07 PM |
| Views | 8 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3090 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Dell Inc. XPS 17 9700 |
| Motherboard | Dell Inc. 0P1CHN |
| Power Plan | Dell |
| 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 | 64.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4927
916.2 IPS |
|
|
Image Classification (HP)
|
99% |
5772
1.08 KIPS |
|
|
Image Classification (Q)
|
100% |
3581
666.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
6642
107.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
7297
118.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
5555
90.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
141446
165.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
240553
280.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
109536
128.3 IPS |
|
|
Object Detection (SP)
|
100% |
6135
486.7 IPS |
|
|
Object Detection (HP)
|
100% |
7223
572.9 IPS |
|
|
Object Detection (Q)
|
85% |
4839
389.2 IPS |
|
|
Face Detection (SP)
|
100% |
15691
186.4 IPS |
|
|
Face Detection (HP)
|
100% |
17687
210.2 IPS |
|
|
Face Detection (Q)
|
97% |
12518
149.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
44545
343.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
66953
515.8 IPS |
|
|
Depth Estimation (Q)
|
77% |
29320
234.8 IPS |
|
|
Style Transfer (SP)
|
100% |
206263
265.2 IPS |
|
|
Style Transfer (HP)
|
100% |
379622
488.0 IPS |
|
|
Style Transfer (Q)
|
98% |
154701
199.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
24972
922.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
30203
1.12 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
15745
583.0 IPS |
|
|
Text Classification (SP)
|
100% |
1750
2.34 KIPS |
|
|
Text Classification (HP)
|
99% |
1974
2.63 KIPS |
|
|
Text Classification (Q)
|
97% |
989
1.32 KIPS |
|
|
Machine Translation (SP)
|
100% |
1628
28.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1632
28.1 IPS |
|
|
Machine Translation (Q)
|
70% |
925
17.3 IPS |