| User | nimblebits |
| Upload Date | February 17 2025 04:31 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% |
5717
1.06 KIPS |
|
|
Image Classification (HP)
|
100% |
8054
1.50 KIPS |
|
|
Image Classification (Q)
|
100% |
8229
1.53 KIPS |
|
|
Image Segmentation (SP)
|
100% |
13228
214.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
18016
292.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
18749
303.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
58101
67.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
182843
213.3 IPS |
|
|
Pose Estimation (Q)
|
97% |
288897
338.2 IPS |
|
|
Object Detection (SP)
|
100% |
5284
419.1 IPS |
|
|
Object Detection (HP)
|
100% |
9793
776.8 IPS |
|
|
Object Detection (Q)
|
88% |
10149
813.4 IPS |
|
|
Face Detection (SP)
|
100% |
24357
289.4 IPS |
|
|
Face Detection (HP)
|
100% |
33177
394.2 IPS |
|
|
Face Detection (Q)
|
100% |
34245
406.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
24955
192.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
50921
392.3 IPS |
|
|
Depth Estimation (Q)
|
89% |
53900
419.0 IPS |
|
|
Style Transfer (SP)
|
100% |
156286
200.9 IPS |
|
|
Style Transfer (HP)
|
100% |
287644
369.8 IPS |
|
|
Style Transfer (Q)
|
98% |
364599
470.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
17274
637.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
26174
966.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
25727
952.8 IPS |
|
|
Text Classification (SP)
|
100% |
1918
2.56 KIPS |
|
|
Text Classification (HP)
|
100% |
1702
2.27 KIPS |
|
|
Text Classification (Q)
|
92% |
1366
1.83 KIPS |
|
|
Machine Translation (SP)
|
100% |
1758
30.3 IPS |
|
|
Machine Translation (HP)
|
100% |
2533
43.6 IPS |
|
|
Machine Translation (Q)
|
100% |
2491
42.9 IPS |