| User | NAGJOZ |
| Upload Date | October 10 2024 09:35 PM |
| Views | 4 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3050 4GB Laptop GPU |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LG Electronics 16Z90SP-A.AP7BG |
| Motherboard | LG Electronics 16Z90SP |
| 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 | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3022
562.0 IPS |
|
|
Image Classification (HP)
|
99% |
5443
1.02 KIPS |
|
|
Image Classification (Q)
|
100% |
2378
442.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
4293
69.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
6797
110.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
3499
56.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
28931
33.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
101598
118.5 IPS |
|
|
Pose Estimation (Q)
|
97% |
23701
27.8 IPS |
|
|
Object Detection (SP)
|
100% |
3386
268.6 IPS |
|
|
Object Detection (HP)
|
100% |
6567
520.9 IPS |
|
|
Object Detection (Q)
|
89% |
2421
193.8 IPS |
|
|
Face Detection (SP)
|
100% |
6235
74.1 IPS |
|
|
Face Detection (HP)
|
100% |
11400
135.5 IPS |
|
|
Face Detection (Q)
|
97% |
4811
57.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
16601
127.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
34838
269.2 IPS |
|
|
Depth Estimation (Q)
|
76% |
11669
94.0 IPS |
|
|
Style Transfer (SP)
|
100% |
58284
74.9 IPS |
|
|
Style Transfer (HP)
|
100% |
157354
202.3 IPS |
|
|
Style Transfer (Q)
|
98% |
44771
57.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10162
375.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
20507
757.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6416
237.6 IPS |
|
|
Text Classification (SP)
|
100% |
1856
2.48 KIPS |
|
|
Text Classification (HP)
|
99% |
2336
3.12 KIPS |
|
|
Text Classification (Q)
|
97% |
1048
1.40 KIPS |
|
|
Machine Translation (SP)
|
100% |
2170
37.4 IPS |
|
|
Machine Translation (HP)
|
100% |
2310
39.8 IPS |
|
|
Machine Translation (Q)
|
60% |
818
18.3 IPS |