| Upload Date | February 19 2025 02:59 PM |
| Views | 17 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5070 Ti |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG CROSSHAIR X670E HERO |
| Power Plan | Rovnovha |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 9800X3D 8-Core Processor |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 4.70 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
13640
2.54 KIPS |
|
|
Image Classification (HP)
|
100% |
20276
3.77 KIPS |
|
|
Image Classification (Q)
|
100% |
11604
2.16 KIPS |
|
|
Image Segmentation (SP)
|
100% |
21214
343.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
29261
474.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
20099
326.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
179848
209.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
675915
788.7 IPS |
|
|
Pose Estimation (Q)
|
94% |
161113
189.0 IPS |
|
|
Object Detection (SP)
|
100% |
17534
1.39 KIPS |
|
|
Object Detection (HP)
|
100% |
28177
2.23 KIPS |
|
|
Object Detection (Q)
|
89% |
14882
1.19 KIPS |
|
|
Face Detection (SP)
|
100% |
45701
543.0 IPS |
|
|
Face Detection (HP)
|
100% |
64147
762.2 IPS |
|
|
Face Detection (Q)
|
97% |
36570
436.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
88322
680.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
140558
1.08 KIPS |
|
|
Depth Estimation (Q)
|
75% |
64919
523.7 IPS |
|
|
Style Transfer (SP)
|
100% |
326487
419.7 IPS |
|
|
Style Transfer (HP)
|
100% |
1033313
1.33 KIPS |
|
|
Style Transfer (Q)
|
98% |
274936
354.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
50381
1.86 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
82808
3.06 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
39074
1.45 KIPS |
|
|
Text Classification (SP)
|
100% |
3973
5.30 KIPS |
|
|
Text Classification (HP)
|
100% |
4913
6.56 KIPS |
|
|
Text Classification (Q)
|
97% |
2441
3.27 KIPS |
|
|
Machine Translation (SP)
|
100% |
5632
97.0 IPS |
|
|
Machine Translation (HP)
|
100% |
5723
98.6 IPS |
|
|
Machine Translation (Q)
|
60% |
2433
54.3 IPS |