| User | hrichl |
| Upload Date | February 11 2025 07:22 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% |
5037
936.8 IPS |
|
|
Image Classification (HP)
|
99% |
6094
1.14 KIPS |
|
|
Image Classification (Q)
|
100% |
3777
702.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
5707
92.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
6086
98.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
4953
80.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
132524
154.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
227522
265.5 IPS |
|
|
Pose Estimation (Q)
|
97% |
108429
127.0 IPS |
|
|
Object Detection (SP)
|
100% |
5957
472.5 IPS |
|
|
Object Detection (HP)
|
100% |
7173
569.0 IPS |
|
|
Object Detection (Q)
|
89% |
4647
372.0 IPS |
|
|
Face Detection (SP)
|
100% |
13983
166.1 IPS |
|
|
Face Detection (HP)
|
100% |
15489
184.0 IPS |
|
|
Face Detection (Q)
|
97% |
10870
129.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
44664
344.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
66505
512.4 IPS |
|
|
Depth Estimation (Q)
|
76% |
28441
229.2 IPS |
|
|
Style Transfer (SP)
|
100% |
207136
266.3 IPS |
|
|
Style Transfer (HP)
|
100% |
359998
462.8 IPS |
|
|
Style Transfer (Q)
|
98% |
158222
204.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
24365
899.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
29585
1.09 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
15769
583.9 IPS |
|
|
Text Classification (SP)
|
100% |
1675
2.24 KIPS |
|
|
Text Classification (HP)
|
99% |
1965
2.62 KIPS |
|
|
Text Classification (Q)
|
97% |
1037
1.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
1512
26.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1525
26.3 IPS |
|
|
Machine Translation (Q)
|
60% |
758
16.9 IPS |