| User | teknoseyir |
| Upload Date | October 17 2024 12:31 AM |
| Views | 16 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Graphics (iGPU) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG MAXIMUS Z890 HERO |
| Power Plan | Dengeli |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 5 245K |
| Topology | 1 Processor, 14 Cores |
| Identifier | GenuineIntel Family 6 Model 198 Stepping 2 |
| Base Frequency | 4.20 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 48.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3883
722.2 IPS |
|
|
Image Classification (HP)
|
100% |
5900
1.10 KIPS |
|
|
Image Classification (Q)
|
100% |
8117
1.51 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4461
72.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
8623
139.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
11546
187.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
11623
13.6 IPS |
|
|
Pose Estimation (HP)
|
99% |
10874
12.7 IPS |
|
|
Pose Estimation (Q)
|
97% |
33113
38.8 IPS |
|
|
Object Detection (SP)
|
100% |
3471
275.3 IPS |
|
|
Object Detection (HP)
|
100% |
5174
410.4 IPS |
|
|
Object Detection (Q)
|
88% |
8987
720.2 IPS |
|
|
Face Detection (SP)
|
100% |
9536
113.3 IPS |
|
|
Face Detection (HP)
|
100% |
17011
202.1 IPS |
|
|
Face Detection (Q)
|
100% |
26367
313.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
12619
97.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
21627
167.2 IPS |
|
|
Depth Estimation (Q)
|
89% |
24913
193.6 IPS |
|
|
Style Transfer (SP)
|
100% |
29107
37.4 IPS |
|
|
Style Transfer (HP)
|
100% |
41592
53.5 IPS |
|
|
Style Transfer (Q)
|
98% |
82232
106.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5076
187.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8776
324.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
14048
520.2 IPS |
|
|
Text Classification (SP)
|
71% |
1909
2.76 KIPS |
|
|
Text Classification (HP)
|
71% |
2540
3.67 KIPS |
|
|
Text Classification (Q)
|
92% |
2767
3.72 KIPS |
|
|
Machine Translation (SP)
|
100% |
1858
32.0 IPS |
|
|
Machine Translation (HP)
|
96% |
2408
41.6 IPS |
|
|
Machine Translation (Q)
|
100% |
2432
41.9 IPS |