User | rbtree |
Upload Date | August 16 2024 02:03 PM |
Views | 2 |
AI Information | |
---|---|
Framework | ONNX |
Backend | DirectML |
Device | NVIDIA GeForce RTX 3080 Ti |
System Information | |
---|---|
Operating System | Microsoft Windows 11 Pro (64-bit) |
Model | Gigabyte Technology Co., Ltd. X570 AORUS MASTER |
Motherboard | Gigabyte Technology Co., Ltd. X570 AORUS MASTER |
Power Plan | High performance |
CPU Information | |
---|---|
Name | AMD Ryzen 9 5950X |
Topology | 1 Processor, 16 Cores, 32 Threads |
Identifier | AuthenticAMD Family 25 Model 33 Stepping 0 |
Base Frequency | 4.40 GHz |
Cluster 1 | 16 Cores |
Memory Information | |
---|---|
Size | 64.00 GB |
Workload | Accuracy | Score | |
---|---|---|---|
Image Classification (SP)
|
100% |
9245
1.72 KIPS |
|
Image Classification (HP)
|
99% |
12371
2.31 KIPS |
|
Image Classification (Q)
|
100% |
5966
1.11 KIPS |
|
Image Segmentation (SP)
|
100% |
14298
231.8 IPS |
|
Image Segmentation (HP)
|
100% |
18174
294.6 IPS |
|
Image Segmentation (Q)
|
98% |
10587
172.2 IPS |
|
Pose Estimation (SP)
|
100% |
186243
217.3 IPS |
|
Pose Estimation (HP)
|
100% |
351802
410.5 IPS |
|
Pose Estimation (Q)
|
97% |
137829
161.4 IPS |
|
Object Detection (SP)
|
100% |
11313
897.4 IPS |
|
Object Detection (HP)
|
100% |
15209
1.21 KIPS |
|
Object Detection (Q)
|
89% |
7727
618.6 IPS |
|
Face Detection (SP)
|
100% |
28928
343.7 IPS |
|
Face Detection (HP)
|
100% |
37927
450.7 IPS |
|
Face Detection (Q)
|
97% |
19098
227.7 IPS |
|
Depth Estimation (SP)
|
100% |
58094
447.6 IPS |
|
Depth Estimation (HP)
|
99% |
95693
737.3 IPS |
|
Depth Estimation (Q)
|
76% |
34305
276.6 IPS |
|
Style Transfer (SP)
|
100% |
281553
361.9 IPS |
|
Style Transfer (HP)
|
100% |
622284
800.0 IPS |
|
Style Transfer (Q)
|
98% |
199020
256.6 IPS |
|
Image Super-Resolution (SP)
|
100% |
38336
1.42 KIPS |
|
Image Super-Resolution (HP)
|
100% |
51966
1.92 KIPS |
|
Image Super-Resolution (Q)
|
99% |
21547
797.9 IPS |
|
Text Classification (SP)
|
100% |
2793
3.73 KIPS |
|
Text Classification (HP)
|
99% |
3585
4.79 KIPS |
|
Text Classification (Q)
|
97% |
1470
1.97 KIPS |
|
Machine Translation (SP)
|
100% |
3576
61.6 IPS |
|
Machine Translation (HP)
|
100% |
3574
61.6 IPS |
|
Machine Translation (Q)
|
60% |
1248
27.8 IPS |