| User | asjfasjgl |
| Upload Date | September 22 2024 09:42 AM |
| Views | 8 |
| 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% |
7437
1.38 KIPS |
|
|
Image Classification (HP)
|
99% |
11843
2.21 KIPS |
|
|
Image Classification (Q)
|
100% |
6398
1.19 KIPS |
|
|
Image Segmentation (SP)
|
100% |
10649
172.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
12801
207.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
9743
158.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
95081
110.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
260718
304.2 IPS |
|
|
Pose Estimation (Q)
|
97% |
81226
95.1 IPS |
|
|
Object Detection (SP)
|
100% |
8513
675.2 IPS |
|
|
Object Detection (HP)
|
100% |
13957
1.11 KIPS |
|
|
Object Detection (Q)
|
88% |
7160
574.2 IPS |
|
|
Face Detection (SP)
|
100% |
17849
212.1 IPS |
|
|
Face Detection (HP)
|
100% |
27489
326.6 IPS |
|
|
Face Detection (Q)
|
97% |
15179
181.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
39807
306.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
78272
603.0 IPS |
|
|
Depth Estimation (Q)
|
76% |
32752
263.1 IPS |
|
|
Style Transfer (SP)
|
100% |
178688
229.7 IPS |
|
|
Style Transfer (HP)
|
100% |
420656
540.8 IPS |
|
|
Style Transfer (Q)
|
98% |
158362
204.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
34143
1.26 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
50315
1.86 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
22829
845.3 IPS |
|
|
Text Classification (SP)
|
100% |
3228
4.31 KIPS |
|
|
Text Classification (HP)
|
99% |
4074
5.44 KIPS |
|
|
Text Classification (Q)
|
97% |
1926
2.58 KIPS |
|
|
Machine Translation (SP)
|
100% |
2839
48.9 IPS |
|
|
Machine Translation (HP)
|
98% |
2990
51.7 IPS |
|
|
Machine Translation (Q)
|
60% |
1353
30.2 IPS |