Upload Date | August 16 2024 07:28 PM |
Views | 15 |
AI Information | |
---|---|
Framework | ONNX |
Backend | DirectML |
Device | NVIDIA GeForce RTX 4090 |
System Information | |
---|---|
Operating System | Microsoft Windows 10 Pro (64-bit) |
Model | Gigabyte Technology Co., Ltd. X670 GAMING X AX V2 |
Motherboard | Gigabyte Technology Co., Ltd. X670 GAMING X AX V2 |
Power Plan | Hg prestanda |
CPU Information | |
---|---|
Name | AMD Ryzen 7 7800X3D |
Topology | 1 Processor, 8 Cores, 16 Threads |
Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
Base Frequency | 4.20 GHz |
Cluster 1 | 8 Cores |
Memory Information | |
---|---|
Size | 32.00 GB |
Workload | Accuracy | Score | |
---|---|---|---|
Image Classification (SP)
|
100% |
13833
2.57 KIPS |
|
Image Classification (HP)
|
99% |
14310
2.67 KIPS |
|
Image Classification (Q)
|
100% |
11558
2.15 KIPS |
|
Image Segmentation (SP)
|
100% |
23129
374.9 IPS |
|
Image Segmentation (HP)
|
100% |
28949
469.3 IPS |
|
Image Segmentation (Q)
|
98% |
21692
352.7 IPS |
|
Pose Estimation (SP)
|
100% |
313042
365.3 IPS |
|
Pose Estimation (HP)
|
100% |
547872
639.3 IPS |
|
Pose Estimation (Q)
|
97% |
272155
318.7 IPS |
|
Object Detection (SP)
|
100% |
19094
1.51 KIPS |
|
Object Detection (HP)
|
100% |
25762
2.04 KIPS |
|
Object Detection (Q)
|
89% |
16555
1.33 KIPS |
|
Face Detection (SP)
|
100% |
50906
604.9 IPS |
|
Face Detection (HP)
|
100% |
63024
748.9 IPS |
|
Face Detection (Q)
|
97% |
42301
504.4 IPS |
|
Depth Estimation (SP)
|
100% |
91199
702.6 IPS |
|
Depth Estimation (HP)
|
99% |
154192
1.19 KIPS |
|
Depth Estimation (Q)
|
75% |
66417
538.5 IPS |
|
Style Transfer (SP)
|
100% |
577779
742.7 IPS |
|
Style Transfer (HP)
|
100% |
1116067
1.43 KIPS |
|
Style Transfer (Q)
|
98% |
492737
635.4 IPS |
|
Image Super-Resolution (SP)
|
100% |
61144
2.26 KIPS |
|
Image Super-Resolution (HP)
|
100% |
82050
3.03 KIPS |
|
Image Super-Resolution (Q)
|
99% |
44760
1.66 KIPS |
|
Text Classification (SP)
|
100% |
3757
5.01 KIPS |
|
Text Classification (HP)
|
99% |
4680
6.25 KIPS |
|
Text Classification (Q)
|
97% |
2249
3.01 KIPS |
|
Machine Translation (SP)
|
100% |
5324
91.7 IPS |
|
Machine Translation (HP)
|
100% |
5209
89.7 IPS |
|
Machine Translation (Q)
|
60% |
2173
48.5 IPS |