| User | edwardhchan |
| Upload Date | November 03 2024 03:20 AM |
| Views | 20 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4070 Ti |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASRock B650E Steel Legend WiFi |
| Motherboard | ASRock B650E Steel Legend WiFi |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 7900X |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 4.70 GHz |
| Cluster 1 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
11143
2.07 KIPS |
|
|
Image Classification (HP)
|
99% |
16527
3.08 KIPS |
|
|
Image Classification (Q)
|
100% |
9499
1.77 KIPS |
|
|
Image Segmentation (SP)
|
100% |
20045
325.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
26410
428.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
18682
303.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
181395
211.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
445995
520.4 IPS |
|
|
Pose Estimation (Q)
|
97% |
162686
190.5 IPS |
|
|
Object Detection (SP)
|
100% |
13599
1.08 KIPS |
|
|
Object Detection (HP)
|
100% |
21472
1.70 KIPS |
|
|
Object Detection (Q)
|
89% |
11108
889.3 IPS |
|
|
Face Detection (SP)
|
100% |
36628
435.2 IPS |
|
|
Face Detection (HP)
|
100% |
50953
605.4 IPS |
|
|
Face Detection (Q)
|
97% |
30039
358.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
65139
501.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
116005
896.3 IPS |
|
|
Depth Estimation (Q)
|
76% |
50127
403.8 IPS |
|
|
Style Transfer (SP)
|
100% |
317495
408.1 IPS |
|
|
Style Transfer (HP)
|
100% |
750187
964.4 IPS |
|
|
Style Transfer (Q)
|
98% |
278428
359.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
47800
1.77 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
60239
2.22 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
34859
1.29 KIPS |
|
|
Text Classification (SP)
|
100% |
3506
4.68 KIPS |
|
|
Text Classification (HP)
|
99% |
4324
5.77 KIPS |
|
|
Text Classification (Q)
|
97% |
2183
2.92 KIPS |
|
|
Machine Translation (SP)
|
100% |
5267
90.7 IPS |
|
|
Machine Translation (HP)
|
100% |
5262
90.6 IPS |
|
|
Machine Translation (Q)
|
60% |
2233
49.8 IPS |