| User | nimblebits |
| Upload Date | March 07 2025 03:45 PM |
| Views | 12 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Arc(TM) A580 Graphics (dGPU) |
| 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% |
5688
1.06 KIPS |
|
|
Image Classification (HP)
|
100% |
8223
1.53 KIPS |
|
|
Image Classification (Q)
|
100% |
8733
1.62 KIPS |
|
|
Image Segmentation (SP)
|
100% |
13298
215.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
18177
294.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
18625
301.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
58657
68.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
185924
216.9 IPS |
|
|
Pose Estimation (Q)
|
97% |
297059
347.8 IPS |
|
|
Object Detection (SP)
|
100% |
5410
429.2 IPS |
|
|
Object Detection (HP)
|
100% |
9780
775.7 IPS |
|
|
Object Detection (Q)
|
88% |
10408
834.1 IPS |
|
|
Face Detection (SP)
|
100% |
24452
290.5 IPS |
|
|
Face Detection (HP)
|
100% |
33537
398.5 IPS |
|
|
Face Detection (Q)
|
100% |
34566
410.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
24983
192.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
50977
392.7 IPS |
|
|
Depth Estimation (Q)
|
89% |
53984
419.6 IPS |
|
|
Style Transfer (SP)
|
100% |
154170
198.2 IPS |
|
|
Style Transfer (HP)
|
100% |
288652
371.1 IPS |
|
|
Style Transfer (Q)
|
98% |
365942
471.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
17430
643.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
26409
975.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
27148
1.01 KIPS |
|
|
Text Classification (SP)
|
100% |
1977
2.64 KIPS |
|
|
Text Classification (HP)
|
100% |
1776
2.37 KIPS |
|
|
Text Classification (Q)
|
92% |
1405
1.89 KIPS |
|
|
Machine Translation (SP)
|
100% |
1807
31.1 IPS |
|
|
Machine Translation (HP)
|
100% |
2529
43.6 IPS |
|
|
Machine Translation (Q)
|
100% |
2527
43.5 IPS |