| Upload Date | November 05 2025 03:28 AM |
| Views | 3 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i9-14900KF |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. Z690 AORUS PRO DDR4 |
| Motherboard | Gigabyte Technology Co., Ltd. Z690 AORUS PRO DDR4 |
| CPU Information | |
|---|---|
| Name | Intel Core i9-14900KF |
| Topology | 1 Processor, 24 Cores, 32 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.20 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3310
615.6 IPS |
|
|
Image Classification (HP)
|
100% |
3028
563.1 IPS |
|
|
Image Classification (Q)
|
100% |
8258
1.54 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4410
71.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
4451
72.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
9224
149.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
8173
9.54 IPS |
|
|
Pose Estimation (HP)
|
100% |
8510
9.93 IPS |
|
|
Pose Estimation (Q)
|
96% |
25771
30.2 IPS |
|
|
Object Detection (SP)
|
100% |
2833
224.7 IPS |
|
|
Object Detection (HP)
|
100% |
2878
228.3 IPS |
|
|
Object Detection (Q)
|
88% |
8868
710.9 IPS |
|
|
Face Detection (SP)
|
100% |
9687
115.1 IPS |
|
|
Face Detection (HP)
|
100% |
9415
111.9 IPS |
|
|
Face Detection (Q)
|
100% |
21462
255.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8507
65.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
8545
65.8 IPS |
|
|
Depth Estimation (Q)
|
89% |
23825
185.3 IPS |
|
|
Style Transfer (SP)
|
100% |
22198
28.5 IPS |
|
|
Style Transfer (HP)
|
100% |
22130
28.4 IPS |
|
|
Style Transfer (Q)
|
98% |
74143
95.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4148
153.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4151
153.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
14271
528.5 IPS |
|
|
Text Classification (SP)
|
100% |
2833
3.78 KIPS |
|
|
Text Classification (HP)
|
100% |
2843
3.79 KIPS |
|
|
Text Classification (Q)
|
92% |
5100
6.85 KIPS |
|
|
Machine Translation (SP)
|
100% |
2647
45.6 IPS |
|
|
Machine Translation (HP)
|
100% |
2651
45.7 IPS |
|
|
Machine Translation (Q)
|
100% |
2592
44.6 IPS |