| User | hrichl |
| Upload Date | April 25 2025 07:19 PM |
| Views | 9 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4070 |
| 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% |
2934
545.7 IPS |
|
|
Image Classification (HP)
|
99% |
6387
1.19 KIPS |
|
|
Image Classification (Q)
|
100% |
4871
905.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
6974
113.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
7717
125.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
6788
110.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
125884
146.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
230281
268.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
114872
134.6 IPS |
|
|
Object Detection (SP)
|
100% |
6076
481.9 IPS |
|
|
Object Detection (HP)
|
100% |
7969
632.1 IPS |
|
|
Object Detection (Q)
|
85% |
5576
448.8 IPS |
|
|
Face Detection (SP)
|
100% |
16253
193.1 IPS |
|
|
Face Detection (HP)
|
100% |
18002
213.9 IPS |
|
|
Face Detection (Q)
|
97% |
14826
176.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
45549
350.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
64167
494.4 IPS |
|
|
Depth Estimation (Q)
|
78% |
39794
317.8 IPS |
|
|
Style Transfer (SP)
|
100% |
200676
258.0 IPS |
|
|
Style Transfer (HP)
|
100% |
339066
435.9 IPS |
|
|
Style Transfer (Q)
|
98% |
183073
236.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
27075
999.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
31802
1.17 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
21636
801.2 IPS |
|
|
Text Classification (SP)
|
100% |
2038
2.72 KIPS |
|
|
Text Classification (HP)
|
99% |
2277
3.04 KIPS |
|
|
Text Classification (Q)
|
97% |
1367
1.83 KIPS |
|
|
Machine Translation (SP)
|
100% |
1761
30.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1786
30.8 IPS |
|
|
Machine Translation (Q)
|
70% |
1219
22.9 IPS |