| User | MrCrispr |
| Upload Date | March 17 2025 03:21 PM |
| Views | 22 |
| 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% |
13140
2.44 KIPS |
|
|
Image Classification (HP)
|
100% |
21909
4.07 KIPS |
|
|
Image Classification (Q)
|
100% |
11545
2.15 KIPS |
|
|
Image Segmentation (SP)
|
100% |
22323
361.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
32559
527.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
21440
348.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
192143
224.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
546485
637.7 IPS |
|
|
Pose Estimation (Q)
|
94% |
162670
190.8 IPS |
|
|
Object Detection (SP)
|
100% |
17540
1.39 KIPS |
|
|
Object Detection (HP)
|
100% |
29052
2.30 KIPS |
|
|
Object Detection (Q)
|
89% |
13973
1.12 KIPS |
|
|
Face Detection (SP)
|
100% |
42800
508.6 IPS |
|
|
Face Detection (HP)
|
100% |
62010
736.8 IPS |
|
|
Face Detection (Q)
|
97% |
34676
413.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
81379
627.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
142341
1.10 KIPS |
|
|
Depth Estimation (Q)
|
76% |
62161
499.7 IPS |
|
|
Style Transfer (SP)
|
100% |
276563
355.5 IPS |
|
|
Style Transfer (HP)
|
100% |
940525
1.21 KIPS |
|
|
Style Transfer (Q)
|
98% |
238042
307.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
50759
1.87 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
92198
3.40 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
40006
1.48 KIPS |
|
|
Text Classification (SP)
|
100% |
4586
6.12 KIPS |
|
|
Text Classification (HP)
|
100% |
5546
7.40 KIPS |
|
|
Text Classification (Q)
|
97% |
2855
3.82 KIPS |
|
|
Machine Translation (SP)
|
100% |
6566
113.1 IPS |
|
|
Machine Translation (HP)
|
100% |
6621
114.0 IPS |
|
|
Machine Translation (Q)
|
60% |
2700
60.2 IPS |