| User | nimblebits |
| Upload Date | April 14 2025 03:02 PM |
| Views | 11 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Arc(TM) A770 Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASRock Z790 PG Lightning |
| Motherboard | ASRock Z790 PG Lightning |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Core i5-13600K |
| Topology | 1 Processor, 14 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.50 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5725
1.06 KIPS |
|
|
Image Classification (HP)
|
100% |
5623
1.05 KIPS |
|
|
Image Classification (Q)
|
99% |
4736
883.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
8950
145.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
14993
243.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
7824
127.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
85015
99.2 IPS |
|
|
Pose Estimation (HP)
|
99% |
86071
100.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
68588
80.4 IPS |
|
|
Object Detection (SP)
|
100% |
7140
566.4 IPS |
|
|
Object Detection (HP)
|
99% |
7508
597.3 IPS |
|
|
Object Detection (Q)
|
85% |
6015
484.0 IPS |
|
|
Face Detection (SP)
|
100% |
20200
240.0 IPS |
|
|
Face Detection (HP)
|
100% |
20383
242.2 IPS |
|
|
Face Detection (Q)
|
97% |
15649
186.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
30258
233.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
29868
230.9 IPS |
|
|
Depth Estimation (Q)
|
77% |
24048
192.5 IPS |
|
|
Style Transfer (SP)
|
100% |
178466
229.4 IPS |
|
|
Style Transfer (HP)
|
100% |
170049
218.6 IPS |
|
|
Style Transfer (Q)
|
98% |
135494
174.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
17703
653.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
23883
881.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
12673
469.3 IPS |
|
|
Text Classification (SP)
|
86% |
869
1.18 KIPS |
|
|
Text Classification (HP)
|
100% |
753
1.01 KIPS |
|
|
Text Classification (Q)
|
84% |
651
884.1 IPS |
|
|
Machine Translation (SP)
|
100% |
2841
48.9 IPS |
|
|
Machine Translation (HP)
|
100% |
2498
43.0 IPS |
|
|
Machine Translation (Q)
|
70% |
1372
25.7 IPS |