User | danm1988 |
Upload Date | April 01 2025 02:35 AM |
Views | 3 |
AI Information | |
---|---|
Framework | ONNX |
Backend | DirectML |
Device | Intel(R) Arc(TM) A770 Graphics |
System Information | |
---|---|
Operating System | Microsoft Windows 11 Pro for Workstations (64-bit) |
Model | Generic |
Motherboard | ASRock H510 Pro BTC+ |
Power Plan | Ultimate Performance |
CPU Information | |
---|---|
Name | Intel Core i9-11900K |
Topology | 1 Processor, 8 Cores, 16 Threads |
Identifier | GenuineIntel Family 6 Model 167 Stepping 1 |
Base Frequency | 3.50 GHz |
Cluster 1 | 8 Cores |
Memory Information | |
---|---|
Size | 32.00 GB |
Workload | Accuracy | Score | |
---|---|---|---|
Image Classification (SP)
|
100% |
2554
474.9 IPS |
|
Image Classification (HP)
|
100% |
2493
463.7 IPS |
|
Image Classification (Q)
|
99% |
2336
435.7 IPS |
|
Image Segmentation (SP)
|
100% |
2263
36.7 IPS |
|
Image Segmentation (HP)
|
100% |
2519
40.8 IPS |
|
Image Segmentation (Q)
|
98% |
2178
35.4 IPS |
|
Pose Estimation (SP)
|
100% |
66267
77.3 IPS |
|
Pose Estimation (HP)
|
99% |
64477
75.2 IPS |
|
Pose Estimation (Q)
|
95% |
55342
64.9 IPS |
|
Object Detection (SP)
|
100% |
2736
217.0 IPS |
|
Object Detection (HP)
|
99% |
2812
223.7 IPS |
|
Object Detection (Q)
|
85% |
2551
205.3 IPS |
|
Face Detection (SP)
|
100% |
6148
73.0 IPS |
|
Face Detection (HP)
|
100% |
6202
73.7 IPS |
|
Face Detection (Q)
|
97% |
5639
67.2 IPS |
|
Depth Estimation (SP)
|
100% |
21712
167.3 IPS |
|
Depth Estimation (HP)
|
98% |
21481
166.0 IPS |
|
Depth Estimation (Q)
|
77% |
17971
143.9 IPS |
|
Style Transfer (SP)
|
100% |
115626
148.6 IPS |
|
Style Transfer (HP)
|
100% |
110261
141.7 IPS |
|
Style Transfer (Q)
|
98% |
94406
121.7 IPS |
|
Image Super-Resolution (SP)
|
100% |
11181
412.9 IPS |
|
Image Super-Resolution (HP)
|
100% |
13550
500.4 IPS |
|
Image Super-Resolution (Q)
|
99% |
9033
334.5 IPS |
|
Text Classification (SP)
|
86% |
669
904.3 IPS |
|
Text Classification (HP)
|
100% |
643
857.9 IPS |
|
Text Classification (Q)
|
84% |
549
744.7 IPS |
|
Machine Translation (SP)
|
100% |
630
10.8 IPS |
|
Machine Translation (HP)
|
100% |
610
10.5 IPS |
|
Machine Translation (Q)
|
70% |
475
8.91 IPS |