| User | Nerwash |
| Upload Date | January 25 2025 10:32 PM |
| Views | 10 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3090 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | ASRock X870E Taichi Lite |
| Motherboard | ASRock X870E Taichi Lite |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 9950X 16-Core Processor |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 4.30 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 96.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
9969
1.85 KIPS |
|
|
Image Classification (HP)
|
99% |
14132
2.64 KIPS |
|
|
Image Classification (Q)
|
100% |
6627
1.23 KIPS |
|
|
Image Segmentation (SP)
|
100% |
14546
235.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
19316
313.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
11028
179.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
166365
194.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
347745
405.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
126374
148.1 IPS |
|
|
Object Detection (SP)
|
100% |
12475
989.5 IPS |
|
|
Object Detection (HP)
|
100% |
17588
1.40 KIPS |
|
|
Object Detection (Q)
|
85% |
8376
673.8 IPS |
|
|
Face Detection (SP)
|
100% |
32263
383.3 IPS |
|
|
Face Detection (HP)
|
100% |
43864
521.2 IPS |
|
|
Face Detection (Q)
|
97% |
21430
255.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
59741
460.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
105881
815.8 IPS |
|
|
Depth Estimation (Q)
|
77% |
35705
285.9 IPS |
|
|
Style Transfer (SP)
|
100% |
270524
347.8 IPS |
|
|
Style Transfer (HP)
|
100% |
633241
814.0 IPS |
|
|
Style Transfer (Q)
|
98% |
188413
243.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
39656
1.46 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
55294
2.04 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
21915
811.5 IPS |
|
|
Text Classification (SP)
|
100% |
3200
4.27 KIPS |
|
|
Text Classification (HP)
|
99% |
4226
5.64 KIPS |
|
|
Text Classification (Q)
|
97% |
1508
2.02 KIPS |
|
|
Machine Translation (SP)
|
100% |
3930
67.7 IPS |
|
|
Machine Translation (HP)
|
100% |
3856
66.4 IPS |
|
|
Machine Translation (Q)
|
70% |
1458
27.4 IPS |