| User | O-EtaIXVII |
| Upload Date | December 22 2024 07:06 AM |
| Views | 13 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Graphics (iGPU) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG MAXIMUS Z890 APEX |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 9 285K |
| Topology | 1 Processor, 24 Cores |
| Identifier | GenuineIntel Family 6 Model 198 Stepping 2 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 48.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4312
801.9 IPS |
|
|
Image Classification (HP)
|
100% |
6574
1.22 KIPS |
|
|
Image Classification (Q)
|
100% |
8552
1.59 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5081
82.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
9673
156.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
12863
208.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
12316
14.4 IPS |
|
|
Pose Estimation (HP)
|
99% |
11630
13.6 IPS |
|
|
Pose Estimation (Q)
|
97% |
34223
40.1 IPS |
|
|
Object Detection (SP)
|
100% |
4018
318.7 IPS |
|
|
Object Detection (HP)
|
100% |
6265
496.9 IPS |
|
|
Object Detection (Q)
|
88% |
9664
774.4 IPS |
|
|
Face Detection (SP)
|
100% |
10955
130.2 IPS |
|
|
Face Detection (HP)
|
100% |
19921
236.7 IPS |
|
|
Face Detection (Q)
|
100% |
27825
330.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
13859
106.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
24185
186.9 IPS |
|
|
Depth Estimation (Q)
|
89% |
26624
206.9 IPS |
|
|
Style Transfer (SP)
|
100% |
30964
39.8 IPS |
|
|
Style Transfer (HP)
|
100% |
44090
56.7 IPS |
|
|
Style Transfer (Q)
|
98% |
84474
108.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5521
203.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9833
363.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
15561
576.3 IPS |
|
|
Text Classification (SP)
|
71% |
1839
2.66 KIPS |
|
|
Text Classification (HP)
|
71% |
2612
3.78 KIPS |
|
|
Text Classification (Q)
|
92% |
3050
4.10 KIPS |
|
|
Machine Translation (SP)
|
100% |
2388
41.1 IPS |
|
|
Machine Translation (HP)
|
96% |
3332
57.6 IPS |
|
|
Machine Translation (Q)
|
100% |
3328
57.3 IPS |