| User | yopjman |
| Upload Date | December 24 2025 02:22 AM |
| Views | 1 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 7 265KF |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Gigabyte Technology Co., Ltd. B860 GAMING X WIFI6E |
| Motherboard | Gigabyte Technology Co., Ltd. B860 GAMING X WIFI6E |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 7 265KF |
| 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% |
4107
763.7 IPS |
|
|
Image Classification (HP)
|
100% |
3165
588.5 IPS |
|
|
Image Classification (Q)
|
100% |
10406
1.94 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5470
88.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2475
40.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
12365
200.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
7479
8.73 IPS |
|
|
Pose Estimation (HP)
|
100% |
5274
6.15 IPS |
|
|
Pose Estimation (Q)
|
96% |
29433
34.5 IPS |
|
|
Object Detection (SP)
|
100% |
3553
281.8 IPS |
|
|
Object Detection (HP)
|
100% |
2807
222.7 IPS |
|
|
Object Detection (Q)
|
88% |
10360
830.5 IPS |
|
|
Face Detection (SP)
|
100% |
10591
125.8 IPS |
|
|
Face Detection (HP)
|
100% |
8765
104.2 IPS |
|
|
Face Detection (Q)
|
100% |
28267
335.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
9712
74.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
7166
55.2 IPS |
|
|
Depth Estimation (Q)
|
89% |
28941
225.0 IPS |
|
|
Style Transfer (SP)
|
100% |
23394
30.1 IPS |
|
|
Style Transfer (HP)
|
100% |
15356
19.7 IPS |
|
|
Style Transfer (Q)
|
98% |
82976
107.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5049
186.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3512
129.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
16802
622.2 IPS |
|
|
Text Classification (SP)
|
100% |
3795
5.07 KIPS |
|
|
Text Classification (HP)
|
100% |
2578
3.44 KIPS |
|
|
Text Classification (Q)
|
92% |
5739
7.71 KIPS |
|
|
Machine Translation (SP)
|
100% |
4983
85.8 IPS |
|
|
Machine Translation (HP)
|
100% |
4946
85.2 IPS |
|
|
Machine Translation (Q)
|
100% |
4908
84.5 IPS |