| User | cordyceps |
| Upload Date | April 26 2025 06:20 AM |
| Views | 7 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3090 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG MAXIMUS XII HERO (WI-FI) |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Core i9-10850K |
| Topology | 1 Processor, 10 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 165 Stepping 5 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7945
1.48 KIPS |
|
|
Image Classification (HP)
|
99% |
12253
2.29 KIPS |
|
|
Image Classification (Q)
|
100% |
5592
1.04 KIPS |
|
|
Image Segmentation (SP)
|
100% |
12295
199.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
17644
286.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
9945
161.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
170045
198.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
338762
395.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
129177
151.4 IPS |
|
|
Object Detection (SP)
|
100% |
10012
794.2 IPS |
|
|
Object Detection (HP)
|
100% |
12939
1.03 KIPS |
|
|
Object Detection (Q)
|
85% |
7606
611.9 IPS |
|
|
Face Detection (SP)
|
100% |
26722
317.5 IPS |
|
|
Face Detection (HP)
|
100% |
35083
416.9 IPS |
|
|
Face Detection (Q)
|
97% |
18971
226.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
53716
413.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
97500
751.2 IPS |
|
|
Depth Estimation (Q)
|
77% |
33160
265.6 IPS |
|
|
Style Transfer (SP)
|
100% |
256142
329.3 IPS |
|
|
Style Transfer (HP)
|
100% |
584333
751.2 IPS |
|
|
Style Transfer (Q)
|
98% |
185830
239.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
33632
1.24 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
45341
1.67 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
19115
707.8 IPS |
|
|
Text Classification (SP)
|
100% |
2800
3.74 KIPS |
|
|
Text Classification (HP)
|
99% |
3461
4.62 KIPS |
|
|
Text Classification (Q)
|
97% |
1227
1.64 KIPS |
|
|
Machine Translation (SP)
|
100% |
3188
54.9 IPS |
|
|
Machine Translation (HP)
|
100% |
3172
54.6 IPS |
|
|
Machine Translation (Q)
|
70% |
1369
25.7 IPS |