| User | nwisecup |
| Upload Date | January 11 2025 02:09 PM |
| Views | 7 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4070 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG STRIX B550-I GAMING |
| 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 | 64.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
10494
1.95 KIPS |
|
|
Image Classification (HP)
|
99% |
16001
2.98 KIPS |
|
|
Image Classification (Q)
|
100% |
9285
1.73 KIPS |
|
|
Image Segmentation (SP)
|
100% |
17089
277.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
21343
346.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
15488
251.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
153220
178.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
350930
409.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
137849
161.5 IPS |
|
|
Object Detection (SP)
|
100% |
12641
1.00 KIPS |
|
|
Object Detection (HP)
|
100% |
19254
1.53 KIPS |
|
|
Object Detection (Q)
|
85% |
10846
873.1 IPS |
|
|
Face Detection (SP)
|
100% |
33272
395.3 IPS |
|
|
Face Detection (HP)
|
100% |
46637
554.1 IPS |
|
|
Face Detection (Q)
|
97% |
28870
344.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
60607
466.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
109146
840.9 IPS |
|
|
Depth Estimation (Q)
|
78% |
47786
381.6 IPS |
|
|
Style Transfer (SP)
|
100% |
268142
344.7 IPS |
|
|
Style Transfer (HP)
|
100% |
588337
756.3 IPS |
|
|
Style Transfer (Q)
|
98% |
234409
302.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
45983
1.70 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
54776
2.02 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
32596
1.21 KIPS |
|
|
Text Classification (SP)
|
100% |
3495
4.66 KIPS |
|
|
Text Classification (HP)
|
99% |
4291
5.73 KIPS |
|
|
Text Classification (Q)
|
97% |
2180
2.92 KIPS |
|
|
Machine Translation (SP)
|
100% |
4618
79.5 IPS |
|
|
Machine Translation (HP)
|
100% |
4800
82.7 IPS |
|
|
Machine Translation (Q)
|
70% |
2177
40.8 IPS |