User | IronLad84 |
Upload Date | March 10 2025 08:18 PM |
Views | 12 |
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% |
14233
2.65 KIPS |
|
Image Classification (HP)
|
99% |
20344
3.79 KIPS |
|
Image Classification (Q)
|
100% |
12323
2.29 KIPS |
|
Image Segmentation (SP)
|
100% |
21602
350.2 IPS |
|
Image Segmentation (HP)
|
100% |
27925
452.7 IPS |
|
Image Segmentation (Q)
|
98% |
20272
329.6 IPS |
|
Pose Estimation (SP)
|
100% |
203449
237.4 IPS |
|
Pose Estimation (HP)
|
100% |
495519
578.2 IPS |
|
Pose Estimation (Q)
|
96% |
183480
215.0 IPS |
|
Object Detection (SP)
|
100% |
17437
1.38 KIPS |
|
Object Detection (HP)
|
100% |
25905
2.05 KIPS |
|
Object Detection (Q)
|
85% |
14679
1.18 KIPS |
|
Face Detection (SP)
|
100% |
47829
568.3 IPS |
|
Face Detection (HP)
|
100% |
62243
739.6 IPS |
|
Face Detection (Q)
|
97% |
41141
490.6 IPS |
|
Depth Estimation (SP)
|
100% |
88503
681.9 IPS |
|
Depth Estimation (HP)
|
99% |
143891
1.11 KIPS |
|
Depth Estimation (Q)
|
77% |
67133
536.7 IPS |
|
Style Transfer (SP)
|
100% |
377944
485.9 IPS |
|
Style Transfer (HP)
|
100% |
864121
1.11 KIPS |
|
Style Transfer (Q)
|
98% |
329869
425.4 IPS |
|
Image Super-Resolution (SP)
|
100% |
57189
2.11 KIPS |
|
Image Super-Resolution (HP)
|
100% |
72039
2.66 KIPS |
|
Image Super-Resolution (Q)
|
99% |
40365
1.49 KIPS |
|
Text Classification (SP)
|
100% |
4315
5.76 KIPS |
|
Text Classification (HP)
|
99% |
5382
7.18 KIPS |
|
Text Classification (Q)
|
97% |
2455
3.29 KIPS |
|
Machine Translation (SP)
|
100% |
5857
100.9 IPS |
|
Machine Translation (HP)
|
100% |
5810
100.1 IPS |
|
Machine Translation (Q)
|
70% |
2842
53.3 IPS |