| User | tischem |
| Upload Date | April 06 2025 06:50 PM |
| Views | 9 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4060 Laptop GPU |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Dell Inc. Inspiron 16 Plus 7640 |
| Motherboard | Dell Inc. 06J1NN |
| Power Plan | Ausbalanciert |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 7 155H |
| Topology | 1 Processor, 16 Cores, 22 Threads |
| Identifier | GenuineIntel Family 6 Model 170 Stepping 4 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5749
1.07 KIPS |
|
|
Image Classification (HP)
|
99% |
9180
1.71 KIPS |
|
|
Image Classification (Q)
|
99% |
4713
879.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
10869
176.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
15389
249.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
9951
161.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
65024
75.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
193283
225.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
60216
70.6 IPS |
|
|
Object Detection (SP)
|
100% |
7089
562.3 IPS |
|
|
Object Detection (HP)
|
100% |
10472
830.7 IPS |
|
|
Object Detection (Q)
|
84% |
6133
494.7 IPS |
|
|
Face Detection (SP)
|
100% |
16770
199.3 IPS |
|
|
Face Detection (HP)
|
100% |
28240
335.6 IPS |
|
|
Face Detection (Q)
|
97% |
16020
191.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
32654
251.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
68196
525.4 IPS |
|
|
Depth Estimation (Q)
|
77% |
29249
234.0 IPS |
|
|
Style Transfer (SP)
|
100% |
110345
141.9 IPS |
|
|
Style Transfer (HP)
|
100% |
265101
340.8 IPS |
|
|
Style Transfer (Q)
|
98% |
95495
123.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
21164
781.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
34541
1.28 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
14476
536.0 IPS |
|
|
Text Classification (SP)
|
100% |
1137
1.52 KIPS |
|
|
Text Classification (HP)
|
99% |
1496
2.00 KIPS |
|
|
Text Classification (Q)
|
97% |
1137
1.52 KIPS |
|
|
Machine Translation (SP)
|
100% |
3000
51.7 IPS |
|
|
Machine Translation (HP)
|
100% |
3364
58.0 IPS |
|
|
Machine Translation (Q)
|
70% |
1507
28.3 IPS |