| User | MrCrispr |
| Upload Date | April 01 2025 12:13 PM |
| Views | 19 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5070 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG CROSSHAIR X670E HERO |
| Power Plan | Balanced |
| 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 | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
12209
2.27 KIPS |
|
|
Image Classification (HP)
|
100% |
20865
3.88 KIPS |
|
|
Image Classification (Q)
|
100% |
10943
2.04 KIPS |
|
|
Image Segmentation (SP)
|
100% |
21332
345.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
31664
513.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
20527
333.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
176230
205.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
505089
589.4 IPS |
|
|
Pose Estimation (Q)
|
94% |
149672
175.5 IPS |
|
|
Object Detection (SP)
|
100% |
16550
1.31 KIPS |
|
|
Object Detection (HP)
|
100% |
27803
2.21 KIPS |
|
|
Object Detection (Q)
|
89% |
13029
1.04 KIPS |
|
|
Face Detection (SP)
|
100% |
39999
475.3 IPS |
|
|
Face Detection (HP)
|
100% |
59048
701.6 IPS |
|
|
Face Detection (Q)
|
97% |
32161
383.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
74751
575.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
134026
1.03 KIPS |
|
|
Depth Estimation (Q)
|
76% |
57629
463.3 IPS |
|
|
Style Transfer (SP)
|
100% |
253808
326.3 IPS |
|
|
Style Transfer (HP)
|
100% |
859709
1.11 KIPS |
|
|
Style Transfer (Q)
|
98% |
217681
280.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
46971
1.73 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
87451
3.23 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
37056
1.37 KIPS |
|
|
Text Classification (SP)
|
100% |
4331
5.78 KIPS |
|
|
Text Classification (HP)
|
100% |
5478
7.31 KIPS |
|
|
Text Classification (Q)
|
97% |
2649
3.55 KIPS |
|
|
Machine Translation (SP)
|
100% |
6363
109.6 IPS |
|
|
Machine Translation (HP)
|
100% |
6477
111.6 IPS |
|
|
Machine Translation (Q)
|
60% |
2631
58.7 IPS |