| User | asjfasjgl |
| Upload Date | October 08 2024 06:34 AM |
| Views | 7 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4070 Laptop GPU |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | COLORFUL P15 TA 24 |
| Motherboard | COLORFUL P15 TA 24 |
| CPU Information | |
|---|---|
| Name | Intel Core i7-13650HX |
| Topology | 1 Processor, 14 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 2.60 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7419
1.38 KIPS |
|
|
Image Classification (HP)
|
99% |
11759
2.19 KIPS |
|
|
Image Classification (Q)
|
100% |
6595
1.23 KIPS |
|
|
Image Segmentation (SP)
|
100% |
7541
122.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
10270
166.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
7513
122.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
87377
102.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
268611
313.4 IPS |
|
|
Pose Estimation (Q)
|
97% |
98654
115.5 IPS |
|
|
Object Detection (SP)
|
100% |
7765
615.9 IPS |
|
|
Object Detection (HP)
|
100% |
11509
912.9 IPS |
|
|
Object Detection (Q)
|
88% |
7179
575.7 IPS |
|
|
Face Detection (SP)
|
100% |
18056
214.5 IPS |
|
|
Face Detection (HP)
|
100% |
26738
317.7 IPS |
|
|
Face Detection (Q)
|
97% |
15189
181.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
43197
332.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
80843
622.8 IPS |
|
|
Depth Estimation (Q)
|
76% |
33589
269.8 IPS |
|
|
Style Transfer (SP)
|
100% |
183221
235.5 IPS |
|
|
Style Transfer (HP)
|
100% |
428781
551.2 IPS |
|
|
Style Transfer (Q)
|
98% |
163429
210.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
33779
1.25 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
47662
1.76 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
24666
913.3 IPS |
|
|
Text Classification (SP)
|
100% |
3104
4.14 KIPS |
|
|
Text Classification (HP)
|
99% |
3806
5.08 KIPS |
|
|
Text Classification (Q)
|
97% |
1858
2.49 KIPS |
|
|
Machine Translation (SP)
|
100% |
2671
46.0 IPS |
|
|
Machine Translation (HP)
|
98% |
2495
43.1 IPS |
|
|
Machine Translation (Q)
|
60% |
946
21.1 IPS |