| User | SaneWolf |
| Upload Date | June 17 2025 12:48 PM |
| 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. Z890M AORUS ELITE WIFI7 |
| Motherboard | Gigabyte Technology Co., Ltd. Z890M AORUS ELITE WIFI7 |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 7 265K |
| Topology | 1 Processor, 20 Cores |
| Identifier | GenuineIntel Family 6 Model 198 Stepping 2 |
| Base Frequency | 3.90 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4573
850.4 IPS |
|
|
Image Classification (HP)
|
100% |
7219
1.34 KIPS |
|
|
Image Classification (Q)
|
100% |
10050
1.87 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6020
97.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2955
47.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3964
64.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
8756
10.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
34863
40.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
75332
88.2 IPS |
|
|
Object Detection (SP)
|
100% |
4366
346.3 IPS |
|
|
Object Detection (HP)
|
100% |
6148
487.6 IPS |
|
|
Object Detection (Q)
|
87% |
9813
787.6 IPS |
|
|
Face Detection (SP)
|
100% |
13298
158.0 IPS |
|
|
Face Detection (HP)
|
100% |
17872
212.4 IPS |
|
|
Face Detection (Q)
|
100% |
32741
389.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
11273
86.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
19937
153.6 IPS |
|
|
Depth Estimation (Q)
|
88% |
36454
283.6 IPS |
|
|
Style Transfer (SP)
|
100% |
26411
34.0 IPS |
|
|
Style Transfer (HP)
|
100% |
54993
70.7 IPS |
|
|
Style Transfer (Q)
|
98% |
101198
130.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5496
202.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
14257
526.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
23722
878.5 IPS |
|
|
Text Classification (SP)
|
100% |
4247
5.67 KIPS |
|
|
Text Classification (HP)
|
100% |
2212
2.95 KIPS |
|
|
Text Classification (Q)
|
92% |
2232
3.00 KIPS |
|
|
Machine Translation (SP)
|
100% |
6042
104.1 IPS |
|
|
Machine Translation (HP)
|
100% |
4569
78.7 IPS |
|
|
Machine Translation (Q)
|
100% |
4617
79.5 IPS |