| User | O-EtaIXVII |
| Upload Date | July 05 2025 07:27 AM |
| Views | 9 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 9 285K |
| 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% |
6689
1.24 KIPS |
|
|
Image Classification (HP)
|
100% |
7476
1.39 KIPS |
|
|
Image Classification (Q)
|
100% |
11508
2.14 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9501
154.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
5472
88.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
14235
230.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
17038
19.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
15446
18.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
33262
39.0 IPS |
|
|
Object Detection (SP)
|
100% |
6601
523.6 IPS |
|
|
Object Detection (HP)
|
100% |
8044
638.1 IPS |
|
|
Object Detection (Q)
|
88% |
12639
1.01 KIPS |
|
|
Face Detection (SP)
|
100% |
18945
225.1 IPS |
|
|
Face Detection (HP)
|
100% |
22538
267.8 IPS |
|
|
Face Detection (Q)
|
100% |
33506
398.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
17167
132.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
19605
151.0 IPS |
|
|
Depth Estimation (Q)
|
89% |
33759
262.5 IPS |
|
|
Style Transfer (SP)
|
100% |
48762
62.7 IPS |
|
|
Style Transfer (HP)
|
100% |
45539
58.5 IPS |
|
|
Style Transfer (Q)
|
98% |
94510
121.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9871
364.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9593
354.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
18438
682.8 IPS |
|
|
Text Classification (SP)
|
100% |
4702
6.28 KIPS |
|
|
Text Classification (HP)
|
100% |
3583
4.78 KIPS |
|
|
Text Classification (Q)
|
92% |
6439
8.65 KIPS |
|
|
Machine Translation (SP)
|
100% |
4259
73.4 IPS |
|
|
Machine Translation (HP)
|
100% |
7825
134.8 IPS |
|
|
Machine Translation (Q)
|
100% |
3518
60.6 IPS |