| User | asjfasjgl |
| Upload Date | October 08 2024 06:49 AM |
| Views | 5 |
| Notes | 硬件加速GPU计划 启用; 核显未屏蔽。 |
| 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% |
7283
1.35 KIPS |
|
|
Image Classification (HP)
|
99% |
11981
2.23 KIPS |
|
|
Image Classification (Q)
|
100% |
6512
1.21 KIPS |
|
|
Image Segmentation (SP)
|
100% |
10358
167.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
13208
214.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
9782
159.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
119572
139.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
292805
341.7 IPS |
|
|
Pose Estimation (Q)
|
97% |
102382
119.9 IPS |
|
|
Object Detection (SP)
|
100% |
8611
683.0 IPS |
|
|
Object Detection (HP)
|
100% |
14158
1.12 KIPS |
|
|
Object Detection (Q)
|
88% |
7221
579.1 IPS |
|
|
Face Detection (SP)
|
100% |
17916
212.9 IPS |
|
|
Face Detection (HP)
|
100% |
27170
322.8 IPS |
|
|
Face Detection (Q)
|
97% |
15295
182.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
42086
324.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
78270
603.0 IPS |
|
|
Depth Estimation (Q)
|
76% |
34277
275.4 IPS |
|
|
Style Transfer (SP)
|
100% |
177073
227.6 IPS |
|
|
Style Transfer (HP)
|
100% |
427546
549.6 IPS |
|
|
Style Transfer (Q)
|
98% |
164340
211.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
34151
1.26 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
47979
1.77 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
24468
906.0 IPS |
|
|
Text Classification (SP)
|
100% |
3400
4.54 KIPS |
|
|
Text Classification (HP)
|
99% |
4341
5.79 KIPS |
|
|
Text Classification (Q)
|
97% |
1894
2.54 KIPS |
|
|
Machine Translation (SP)
|
100% |
2864
49.3 IPS |
|
|
Machine Translation (HP)
|
98% |
2938
50.8 IPS |
|
|
Machine Translation (Q)
|
60% |
1359
30.3 IPS |