User | IronLad84 |
Upload Date | March 10 2025 01:42 AM |
Views | 11 |
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% |
14189
2.64 KIPS |
|
Image Classification (HP)
|
99% |
20253
3.78 KIPS |
|
Image Classification (Q)
|
100% |
12268
2.28 KIPS |
|
Image Segmentation (SP)
|
100% |
21717
352.0 IPS |
|
Image Segmentation (HP)
|
100% |
28103
455.6 IPS |
|
Image Segmentation (Q)
|
98% |
20322
330.5 IPS |
|
Pose Estimation (SP)
|
100% |
203659
237.6 IPS |
|
Pose Estimation (HP)
|
100% |
495121
577.7 IPS |
|
Pose Estimation (Q)
|
96% |
182925
214.3 IPS |
|
Object Detection (SP)
|
100% |
17375
1.38 KIPS |
|
Object Detection (HP)
|
100% |
25845
2.05 KIPS |
|
Object Detection (Q)
|
85% |
14634
1.18 KIPS |
|
Face Detection (SP)
|
100% |
48115
571.7 IPS |
|
Face Detection (HP)
|
100% |
62495
742.6 IPS |
|
Face Detection (Q)
|
97% |
41279
492.2 IPS |
|
Depth Estimation (SP)
|
100% |
88067
678.5 IPS |
|
Depth Estimation (HP)
|
99% |
143387
1.11 KIPS |
|
Depth Estimation (Q)
|
77% |
66984
535.5 IPS |
|
Style Transfer (SP)
|
100% |
377580
485.4 IPS |
|
Style Transfer (HP)
|
100% |
866006
1.11 KIPS |
|
Style Transfer (Q)
|
98% |
330087
425.6 IPS |
|
Image Super-Resolution (SP)
|
100% |
57117
2.11 KIPS |
|
Image Super-Resolution (HP)
|
100% |
71872
2.65 KIPS |
|
Image Super-Resolution (Q)
|
99% |
40159
1.49 KIPS |
|
Text Classification (SP)
|
100% |
4277
5.71 KIPS |
|
Text Classification (HP)
|
99% |
5311
7.09 KIPS |
|
Text Classification (Q)
|
97% |
2433
3.26 KIPS |
|
Machine Translation (SP)
|
100% |
5848
100.7 IPS |
|
Machine Translation (HP)
|
100% |
5819
100.2 IPS |
|
Machine Translation (Q)
|
70% |
2846
53.4 IPS |