| Upload Date | November 08 2025 03:01 AM |
| Views | 4 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. Z890 GAMING X WIFI7 |
| Motherboard | Gigabyte Technology Co., Ltd. Z890 GAMING X WIFI7 |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Core 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 | 64.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6253
1.16 KIPS |
|
|
Image Classification (HP)
|
100% |
6878
1.28 KIPS |
|
|
Image Classification (Q)
|
56% |
6200
1.73 KIPS |
|
|
Image Segmentation (SP)
|
100% |
8566
138.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2971
48.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3970
64.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
14938
17.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
34398
40.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
74927
87.8 IPS |
|
|
Object Detection (SP)
|
100% |
6092
483.2 IPS |
|
|
Object Detection (HP)
|
100% |
5791
459.3 IPS |
|
|
Object Detection (Q)
|
87% |
9647
774.2 IPS |
|
|
Face Detection (SP)
|
100% |
17132
203.6 IPS |
|
|
Face Detection (HP)
|
100% |
17430
207.1 IPS |
|
|
Face Detection (Q)
|
100% |
29617
351.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
14867
114.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
19719
151.9 IPS |
|
|
Depth Estimation (Q)
|
88% |
36312
282.5 IPS |
|
|
Style Transfer (SP)
|
100% |
42175
54.2 IPS |
|
|
Style Transfer (HP)
|
100% |
54563
70.1 IPS |
|
|
Style Transfer (Q)
|
98% |
99738
128.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8547
315.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
14314
528.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
25529
945.4 IPS |
|
|
Text Classification (SP)
|
100% |
4160
5.55 KIPS |
|
|
Text Classification (HP)
|
100% |
1891
2.52 KIPS |
|
|
Text Classification (Q)
|
92% |
1903
2.56 KIPS |
|
|
Machine Translation (SP)
|
100% |
3636
62.6 IPS |
|
|
Machine Translation (HP)
|
100% |
4337
74.7 IPS |
|
|
Machine Translation (Q)
|
100% |
4383
75.5 IPS |