User | IronLad84 |
Upload Date | March 11 2025 11:02 PM |
Views | 13 |
AI Information | |
---|---|
Framework | ONNX |
Backend | DirectML |
Device | NVIDIA GeForce RTX 4070 Ti SUPER |
System Information | |
---|---|
Operating System | Microsoft Windows 11 Pro (64-bit) |
Model | Gigabyte Technology Co., Ltd. X870 GAMING WIFI6 |
Motherboard | Gigabyte Technology Co., Ltd. X870 GAMING WIFI6 |
Power Plan | Ultimate Performance |
CPU Information | |
---|---|
Name | AMD Ryzen 9 9900X 12-Core Processor |
Topology | 1 Processor, 12 Cores, 24 Threads |
Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
Base Frequency | 4.40 GHz |
Cluster 1 | 12 Cores |
Memory Information | |
---|---|
Size | 32.00 GB |
Workload | Accuracy | Score | |
---|---|---|---|
Image Classification (SP)
|
100% |
14257
2.65 KIPS |
|
Image Classification (HP)
|
99% |
20353
3.80 KIPS |
|
Image Classification (Q)
|
100% |
12328
2.29 KIPS |
|
Image Segmentation (SP)
|
100% |
21591
350.0 IPS |
|
Image Segmentation (HP)
|
100% |
27962
453.3 IPS |
|
Image Segmentation (Q)
|
98% |
20258
329.4 IPS |
|
Pose Estimation (SP)
|
100% |
203679
237.7 IPS |
|
Pose Estimation (HP)
|
100% |
495316
578.0 IPS |
|
Pose Estimation (Q)
|
96% |
182977
214.4 IPS |
|
Object Detection (SP)
|
100% |
17442
1.38 KIPS |
|
Object Detection (HP)
|
100% |
25835
2.05 KIPS |
|
Object Detection (Q)
|
85% |
14668
1.18 KIPS |
|
Face Detection (SP)
|
100% |
48003
570.4 IPS |
|
Face Detection (HP)
|
100% |
62308
740.4 IPS |
|
Face Detection (Q)
|
97% |
41165
490.9 IPS |
|
Depth Estimation (SP)
|
100% |
88579
682.5 IPS |
|
Depth Estimation (HP)
|
99% |
144199
1.11 KIPS |
|
Depth Estimation (Q)
|
77% |
67200
537.3 IPS |
|
Style Transfer (SP)
|
100% |
377700
485.5 IPS |
|
Style Transfer (HP)
|
100% |
867339
1.11 KIPS |
|
Style Transfer (Q)
|
98% |
331178
427.0 IPS |
|
Image Super-Resolution (SP)
|
100% |
57338
2.12 KIPS |
|
Image Super-Resolution (HP)
|
100% |
72135
2.66 KIPS |
|
Image Super-Resolution (Q)
|
99% |
40333
1.49 KIPS |
|
Text Classification (SP)
|
100% |
4293
5.73 KIPS |
|
Text Classification (HP)
|
99% |
5366
7.16 KIPS |
|
Text Classification (Q)
|
97% |
2440
3.27 KIPS |
|
Machine Translation (SP)
|
100% |
5847
100.7 IPS |
|
Machine Translation (HP)
|
100% |
5799
99.9 IPS |
|
Machine Translation (Q)
|
70% |
2832
53.1 IPS |