| User | aenewton |
| Upload Date | August 24 2024 11:33 PM |
| Views | 18 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 2080 Ti |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | OriginPC NEURON |
| Motherboard | ASUSTeK COMPUTER INC. TUF Z390M-PRO GAMING (WI-FI) |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-9700K |
| Topology | 1 Processor, 8 Cores |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 12 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5982
1.11 KIPS |
|
|
Image Classification (HP)
|
100% |
9394
1.75 KIPS |
|
|
Image Classification (Q)
|
100% |
4360
810.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
10223
165.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
13148
213.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
7994
130.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
88908
103.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
269341
314.3 IPS |
|
|
Pose Estimation (Q)
|
97% |
72548
85.0 IPS |
|
|
Object Detection (SP)
|
100% |
8025
636.6 IPS |
|
|
Object Detection (HP)
|
100% |
11112
881.4 IPS |
|
|
Object Detection (Q)
|
89% |
5870
470.1 IPS |
|
|
Face Detection (SP)
|
100% |
19173
227.8 IPS |
|
|
Face Detection (HP)
|
100% |
26655
316.7 IPS |
|
|
Face Detection (Q)
|
97% |
13768
164.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
44519
343.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
67554
520.5 IPS |
|
|
Depth Estimation (Q)
|
75% |
25373
205.2 IPS |
|
|
Style Transfer (SP)
|
100% |
172904
222.3 IPS |
|
|
Style Transfer (HP)
|
100% |
387259
497.8 IPS |
|
|
Style Transfer (Q)
|
98% |
136509
176.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
28118
1.04 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
33028
1.22 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
16153
598.1 IPS |
|
|
Text Classification (SP)
|
100% |
1879
2.51 KIPS |
|
|
Text Classification (HP)
|
99% |
3285
4.39 KIPS |
|
|
Text Classification (Q)
|
97% |
1016
1.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
2726
47.0 IPS |
|
|
Machine Translation (HP)
|
100% |
2683
46.2 IPS |
|
|
Machine Translation (Q)
|
60% |
1024
22.8 IPS |