| User | nimblebits |
| Upload Date | October 05 2024 11:58 AM |
| Views | 10 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) UHD Graphics 770 (iGPU) |
| 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% |
1537
285.8 IPS |
|
|
Image Classification (HP)
|
100% |
2634
489.8 IPS |
|
|
Image Classification (Q)
|
99% |
3964
739.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2344
38.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
3759
60.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
4308
69.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
4234
4.94 IPS |
|
|
Pose Estimation (HP)
|
99% |
3079
3.59 IPS |
|
|
Pose Estimation (Q)
|
97% |
12599
14.7 IPS |
|
|
Object Detection (SP)
|
100% |
1403
111.3 IPS |
|
|
Object Detection (HP)
|
98% |
2191
174.3 IPS |
|
|
Object Detection (Q)
|
90% |
4070
325.4 IPS |
|
|
Face Detection (SP)
|
100% |
4846
57.6 IPS |
|
|
Face Detection (HP)
|
100% |
7586
90.1 IPS |
|
|
Face Detection (Q)
|
100% |
10250
121.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
4958
38.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
8194
63.3 IPS |
|
|
Depth Estimation (Q)
|
89% |
11102
86.3 IPS |
|
|
Style Transfer (SP)
|
100% |
11061
14.2 IPS |
|
|
Style Transfer (HP)
|
100% |
17229
22.1 IPS |
|
|
Style Transfer (Q)
|
98% |
28854
37.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1964
72.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3225
119.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6569
243.3 IPS |
|
|
Text Classification (SP)
|
71% |
1178
1.70 KIPS |
|
|
Text Classification (HP)
|
71% |
1490
2.16 KIPS |
|
|
Text Classification (Q)
|
92% |
1472
1.98 KIPS |
|
|
Machine Translation (SP)
|
100% |
1061
18.3 IPS |
|
|
Machine Translation (HP)
|
98% |
1557
26.9 IPS |
|
|
Machine Translation (Q)
|
100% |
1566
27.0 IPS |