| User | linne |
| Upload Date | January 25 2025 01:59 AM |
| Views | 17 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 2080 Ti |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | MSI MS-7883 |
| Motherboard | MSI X99A GODLIKE GAMING (MS-7883) |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Xeon E5-2695 v3 |
| Topology | 1 Processor, 14 Cores, 28 Threads |
| Identifier | GenuineIntel Family 6 Model 63 Stepping 2 |
| Base Frequency | 2.30 GHz |
| Cluster 1 | 14 Cores |
| Memory Information | |
|---|---|
| Size | 96.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5580
1.04 KIPS |
|
|
Image Classification (HP)
|
100% |
7316
1.36 KIPS |
|
|
Image Classification (Q)
|
99% |
4307
803.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
7375
119.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
8701
141.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
6162
100.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
89898
104.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
245536
286.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
74636
87.4 IPS |
|
|
Object Detection (SP)
|
100% |
7017
556.6 IPS |
|
|
Object Detection (HP)
|
100% |
9150
725.8 IPS |
|
|
Object Detection (Q)
|
85% |
5459
439.5 IPS |
|
|
Face Detection (SP)
|
100% |
15693
186.5 IPS |
|
|
Face Detection (HP)
|
100% |
19943
237.0 IPS |
|
|
Face Detection (Q)
|
97% |
12579
150.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
43276
333.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
64922
500.2 IPS |
|
|
Depth Estimation (Q)
|
77% |
27964
224.0 IPS |
|
|
Style Transfer (SP)
|
100% |
173260
222.7 IPS |
|
|
Style Transfer (HP)
|
100% |
345756
444.5 IPS |
|
|
Style Transfer (Q)
|
98% |
131096
169.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
24981
922.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
31002
1.14 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
15072
558.1 IPS |
|
|
Text Classification (SP)
|
100% |
1618
2.16 KIPS |
|
|
Text Classification (HP)
|
99% |
2302
3.07 KIPS |
|
|
Text Classification (Q)
|
97% |
961
1.29 KIPS |
|
|
Machine Translation (SP)
|
100% |
2083
35.9 IPS |
|
|
Machine Translation (HP)
|
100% |
2061
35.5 IPS |
|
|
Machine Translation (Q)
|
70% |
1068
20.0 IPS |