| User | nimblebits |
| Upload Date | January 21 2025 11:13 AM |
| Views | 14 |
| 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% |
5655
1.05 KIPS |
|
|
Image Classification (HP)
|
100% |
7881
1.47 KIPS |
|
|
Image Classification (Q)
|
100% |
8770
1.63 KIPS |
|
|
Image Segmentation (SP)
|
100% |
13464
218.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
17438
282.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
18134
294.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
58377
68.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
182551
213.0 IPS |
|
|
Pose Estimation (Q)
|
97% |
289780
339.3 IPS |
|
|
Object Detection (SP)
|
100% |
5285
419.2 IPS |
|
|
Object Detection (HP)
|
100% |
9019
715.4 IPS |
|
|
Object Detection (Q)
|
88% |
10182
816.0 IPS |
|
|
Face Detection (SP)
|
100% |
24662
293.0 IPS |
|
|
Face Detection (HP)
|
100% |
28868
343.0 IPS |
|
|
Face Detection (Q)
|
100% |
34648
411.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
24857
191.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
50081
385.8 IPS |
|
|
Depth Estimation (Q)
|
89% |
54455
423.3 IPS |
|
|
Style Transfer (SP)
|
100% |
155572
200.0 IPS |
|
|
Style Transfer (HP)
|
100% |
292675
376.2 IPS |
|
|
Style Transfer (Q)
|
98% |
354233
456.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
17396
642.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
26085
963.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
26544
983.0 IPS |
|
|
Text Classification (SP)
|
100% |
1933
2.58 KIPS |
|
|
Text Classification (HP)
|
100% |
1756
2.34 KIPS |
|
|
Text Classification (Q)
|
92% |
1392
1.87 KIPS |
|
|
Machine Translation (SP)
|
100% |
1756
30.2 IPS |
|
|
Machine Translation (HP)
|
100% |
2534
43.7 IPS |
|
|
Machine Translation (Q)
|
100% |
2537
43.7 IPS |