| User | aenewton |
| Upload Date | August 24 2024 11:28 PM |
| Views | 16 |
| 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% |
5950
1.11 KIPS |
|
|
Image Classification (HP)
|
100% |
9197
1.71 KIPS |
|
|
Image Classification (Q)
|
100% |
4285
796.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
10120
164.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
13072
211.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
7928
128.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
90626
105.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
272897
318.4 IPS |
|
|
Pose Estimation (Q)
|
97% |
73666
86.3 IPS |
|
|
Object Detection (SP)
|
100% |
8084
641.2 IPS |
|
|
Object Detection (HP)
|
100% |
11142
883.8 IPS |
|
|
Object Detection (Q)
|
89% |
5743
459.9 IPS |
|
|
Face Detection (SP)
|
100% |
19247
228.7 IPS |
|
|
Face Detection (HP)
|
100% |
26666
316.9 IPS |
|
|
Face Detection (Q)
|
97% |
13690
163.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
41323
318.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
69957
539.0 IPS |
|
|
Depth Estimation (Q)
|
75% |
26628
215.4 IPS |
|
|
Style Transfer (SP)
|
100% |
173737
223.3 IPS |
|
|
Style Transfer (HP)
|
100% |
387143
497.7 IPS |
|
|
Style Transfer (Q)
|
98% |
135581
174.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
29075
1.07 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
33838
1.25 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
15428
571.3 IPS |
|
|
Text Classification (SP)
|
100% |
1873
2.50 KIPS |
|
|
Text Classification (HP)
|
99% |
3285
4.39 KIPS |
|
|
Text Classification (Q)
|
97% |
1025
1.37 KIPS |
|
|
Machine Translation (SP)
|
100% |
2765
47.6 IPS |
|
|
Machine Translation (HP)
|
100% |
2740
47.2 IPS |
|
|
Machine Translation (Q)
|
60% |
1018
22.7 IPS |