| User | danm1988 |
| Upload Date | May 14 2025 11:06 PM |
| Views | 7 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Arc(TM) A770 Graphics (dGPU) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro for Workstations (64-bit) |
| Model | Generic |
| Motherboard | ASRock H510 Pro BTC+ |
| Power Plan | Ultimate Performance |
| CPU Information | |
|---|---|
| Name | Intel Core i9-11900K |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 167 Stepping 1 |
| Base Frequency | 3.50 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5610
1.04 KIPS |
|
|
Image Classification (HP)
|
100% |
8600
1.60 KIPS |
|
|
Image Classification (Q)
|
100% |
8381
1.56 KIPS |
|
|
Image Segmentation (SP)
|
100% |
16975
275.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
26526
430.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
27483
445.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
78815
92.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
229217
267.5 IPS |
|
|
Pose Estimation (Q)
|
97% |
352118
412.2 IPS |
|
|
Object Detection (SP)
|
100% |
5311
421.3 IPS |
|
|
Object Detection (HP)
|
100% |
10560
837.6 IPS |
|
|
Object Detection (Q)
|
88% |
10761
862.4 IPS |
|
|
Face Detection (SP)
|
100% |
23013
273.4 IPS |
|
|
Face Detection (HP)
|
100% |
33194
394.4 IPS |
|
|
Face Detection (Q)
|
100% |
33066
392.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
25927
199.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
57948
446.5 IPS |
|
|
Depth Estimation (Q)
|
89% |
56994
443.0 IPS |
|
|
Style Transfer (SP)
|
100% |
200562
257.8 IPS |
|
|
Style Transfer (HP)
|
100% |
363713
467.6 IPS |
|
|
Style Transfer (Q)
|
98% |
435993
562.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
17949
662.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
26530
979.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
26205
970.5 IPS |
|
|
Text Classification (SP)
|
100% |
1535
2.05 KIPS |
|
|
Text Classification (HP)
|
100% |
1461
1.95 KIPS |
|
|
Text Classification (Q)
|
92% |
1102
1.48 KIPS |
|
|
Machine Translation (SP)
|
100% |
1787
30.8 IPS |
|
|
Machine Translation (HP)
|
100% |
2584
44.5 IPS |
|
|
Machine Translation (Q)
|
100% |
2542
43.8 IPS |