User | neo9922 |
Upload Date | December 24 2024 01:27 PM |
Views | 2 |
AI Information | |
---|---|
Framework | ONNX |
Backend | DirectML |
Device | NVIDIA GeForce RTX 3080 Ti |
System Information | |
---|---|
Operating System | Microsoft Windows 11 Professionnel (64-bit) |
Model | System manufacturer System Product Name |
Motherboard | ASUSTeK COMPUTER INC. ROG STRIX X570-F GAMING |
Power Plan | Utilisation normale |
CPU Information | |
---|---|
Name | AMD Ryzen 7 5800X |
Topology | 1 Processor, 8 Cores, 16 Threads |
Identifier | AuthenticAMD Family 25 Model 33 Stepping 0 |
Base Frequency | 3.80 GHz |
Cluster 1 | 8 Cores |
Memory Information | |
---|---|
Size | 32.00 GB |
Workload | Accuracy | Score | |
---|---|---|---|
Image Classification (SP)
|
100% |
9734
1.81 KIPS |
|
Image Classification (HP)
|
99% |
13417
2.50 KIPS |
|
Image Classification (Q)
|
100% |
6559
1.22 KIPS |
|
Image Segmentation (SP)
|
100% |
15522
251.6 IPS |
|
Image Segmentation (HP)
|
100% |
21206
343.8 IPS |
|
Image Segmentation (Q)
|
98% |
11542
187.7 IPS |
|
Pose Estimation (SP)
|
100% |
173715
202.7 IPS |
|
Pose Estimation (HP)
|
100% |
361234
421.5 IPS |
|
Pose Estimation (Q)
|
96% |
129981
152.3 IPS |
|
Object Detection (SP)
|
100% |
12141
963.0 IPS |
|
Object Detection (HP)
|
100% |
16781
1.33 KIPS |
|
Object Detection (Q)
|
85% |
8202
659.8 IPS |
|
Face Detection (SP)
|
100% |
32303
383.8 IPS |
|
Face Detection (HP)
|
100% |
45074
535.6 IPS |
|
Face Detection (Q)
|
97% |
21678
258.5 IPS |
|
Depth Estimation (SP)
|
100% |
59781
460.6 IPS |
|
Depth Estimation (HP)
|
99% |
105605
813.6 IPS |
|
Depth Estimation (Q)
|
77% |
35765
286.4 IPS |
|
Style Transfer (SP)
|
100% |
270059
347.2 IPS |
|
Style Transfer (HP)
|
100% |
632222
812.7 IPS |
|
Style Transfer (Q)
|
98% |
192680
248.5 IPS |
|
Image Super-Resolution (SP)
|
100% |
38247
1.41 KIPS |
|
Image Super-Resolution (HP)
|
100% |
52453
1.94 KIPS |
|
Image Super-Resolution (Q)
|
99% |
21380
791.7 IPS |
|
Text Classification (SP)
|
100% |
2868
3.83 KIPS |
|
Text Classification (HP)
|
99% |
3628
4.84 KIPS |
|
Text Classification (Q)
|
97% |
1429
1.91 KIPS |
|
Machine Translation (SP)
|
100% |
4185
72.1 IPS |
|
Machine Translation (HP)
|
100% |
4119
70.9 IPS |
|
Machine Translation (Q)
|
70% |
1505
28.2 IPS |