| User | teknoseyir |
| Upload Date | October 17 2024 12:28 AM |
| Views | 15 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 5 245K |
| 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% |
3355
624.0 IPS |
|
|
Image Classification (HP)
|
100% |
3375
627.7 IPS |
|
|
Image Classification (Q)
|
100% |
8278
1.54 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3107
50.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
3056
49.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
6750
109.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
5913
6.90 IPS |
|
|
Pose Estimation (HP)
|
100% |
5979
6.98 IPS |
|
|
Pose Estimation (Q)
|
96% |
23508
27.5 IPS |
|
|
Object Detection (SP)
|
100% |
3108
246.5 IPS |
|
|
Object Detection (HP)
|
100% |
3173
251.7 IPS |
|
|
Object Detection (Q)
|
88% |
8733
700.1 IPS |
|
|
Face Detection (SP)
|
100% |
9696
115.2 IPS |
|
|
Face Detection (HP)
|
100% |
9834
116.9 IPS |
|
|
Face Detection (Q)
|
100% |
22066
262.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8130
62.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
8169
62.9 IPS |
|
|
Depth Estimation (Q)
|
89% |
22274
173.2 IPS |
|
|
Style Transfer (SP)
|
100% |
17807
22.9 IPS |
|
|
Style Transfer (HP)
|
100% |
18365
23.6 IPS |
|
|
Style Transfer (Q)
|
98% |
67127
86.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3725
137.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3806
140.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
13120
485.9 IPS |
|
|
Text Classification (SP)
|
100% |
2182
2.91 KIPS |
|
|
Text Classification (HP)
|
100% |
2175
2.90 KIPS |
|
|
Text Classification (Q)
|
92% |
4711
6.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
2596
44.7 IPS |
|
|
Machine Translation (HP)
|
100% |
2523
43.5 IPS |
|
|
Machine Translation (Q)
|
100% |
2567
44.2 IPS |