User | rsabatino20 |
Upload Date | August 15 2024 09:25 PM |
Views | 13 |
AI Information | |
---|---|
Framework | ONNX |
Backend | DirectML |
Device | NVIDIA GeForce RTX 4070 Ti |
System Information | |
---|---|
Operating System | Microsoft Windows 11 Pro (64-bit) |
Model | ASUS System Product Name |
Motherboard | ASUSTeK COMPUTER INC. ROG STRIX B550-XE GAMING WIFI |
Power Plan | High performance |
CPU Information | |
---|---|
Name | AMD Ryzen 9 5950X |
Topology | 1 Processor, 16 Cores, 32 Threads |
Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 |
Base Frequency | 3.40 GHz |
Cluster 1 | 16 Cores |
Memory Information | |
---|---|
Size | 32.00 GB |
Workload | Accuracy | Score | |
---|---|---|---|
Image Classification (SP)
|
100% |
11302
2.10 KIPS |
|
Image Classification (HP)
|
99% |
16448
3.07 KIPS |
|
Image Classification (Q)
|
100% |
9702
1.80 KIPS |
|
Image Segmentation (SP)
|
100% |
18504
300.0 IPS |
|
Image Segmentation (HP)
|
100% |
23376
378.9 IPS |
|
Image Segmentation (Q)
|
98% |
16959
275.8 IPS |
|
Pose Estimation (SP)
|
100% |
186290
217.4 IPS |
|
Pose Estimation (HP)
|
100% |
445291
519.6 IPS |
|
Pose Estimation (Q)
|
97% |
167148
195.7 IPS |
|
Object Detection (SP)
|
100% |
13237
1.05 KIPS |
|
Object Detection (HP)
|
100% |
20009
1.59 KIPS |
|
Object Detection (Q)
|
89% |
11469
918.2 IPS |
|
Face Detection (SP)
|
100% |
34434
409.2 IPS |
|
Face Detection (HP)
|
100% |
47559
565.1 IPS |
|
Face Detection (Q)
|
97% |
28578
340.7 IPS |
|
Depth Estimation (SP)
|
100% |
66660
513.6 IPS |
|
Depth Estimation (HP)
|
99% |
118583
913.6 IPS |
|
Depth Estimation (Q)
|
70% |
49950
418.1 IPS |
|
Style Transfer (SP)
|
100% |
320979
412.6 IPS |
|
Style Transfer (HP)
|
100% |
755484
971.2 IPS |
|
Style Transfer (Q)
|
98% |
284088
366.3 IPS |
|
Image Super-Resolution (SP)
|
100% |
48413
1.79 KIPS |
|
Image Super-Resolution (HP)
|
100% |
60976
2.25 KIPS |
|
Image Super-Resolution (Q)
|
99% |
35391
1.31 KIPS |
|
Text Classification (SP)
|
100% |
3403
4.54 KIPS |
|
Text Classification (HP)
|
99% |
4179
5.58 KIPS |
|
Text Classification (Q)
|
97% |
2189
2.93 KIPS |
|
Machine Translation (SP)
|
100% |
4831
83.2 IPS |
|
Machine Translation (HP)
|
100% |
4886
84.2 IPS |
|
Machine Translation (Q)
|
60% |
2143
47.8 IPS |