| User | hrichl |
| Upload Date | May 21 2025 05:32 PM |
| Views | 8 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5060 Ti |
| 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% |
4602
855.9 IPS |
|
|
Image Classification (HP)
|
100% |
5852
1.09 KIPS |
|
|
Image Classification (Q)
|
100% |
4271
794.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
6381
103.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
7376
119.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
6200
100.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
2160
2.52 IPS |
|
|
Pose Estimation (HP)
|
100% |
250158
291.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
96312
112.8 IPS |
|
|
Object Detection (SP)
|
100% |
5712
453.1 IPS |
|
|
Object Detection (HP)
|
100% |
7336
581.9 IPS |
|
|
Object Detection (Q)
|
83% |
5233
422.8 IPS |
|
|
Face Detection (SP)
|
100% |
14179
168.5 IPS |
|
|
Face Detection (HP)
|
100% |
17280
205.3 IPS |
|
|
Face Detection (Q)
|
97% |
13305
158.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
39960
307.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
66633
513.4 IPS |
|
|
Depth Estimation (Q)
|
78% |
33155
264.6 IPS |
|
|
Style Transfer (SP)
|
100% |
137658
177.0 IPS |
|
|
Style Transfer (HP)
|
100% |
333819
429.1 IPS |
|
|
Style Transfer (Q)
|
98% |
123674
159.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
20530
758.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
29722
1.10 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
17525
648.9 IPS |
|
|
Text Classification (SP)
|
100% |
1545
2.06 KIPS |
|
|
Text Classification (HP)
|
100% |
1597
2.13 KIPS |
|
|
Text Classification (Q)
|
97% |
1055
1.41 KIPS |
|
|
Machine Translation (SP)
|
100% |
1670
28.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1739
30.0 IPS |
|
|
Machine Translation (Q)
|
70% |
1093
20.5 IPS |