| Upload Date | November 05 2025 04:16 AM |
| Views | 2 |
| 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% |
3285
610.9 IPS |
|
|
Image Classification (HP)
|
100% |
3210
596.9 IPS |
|
|
Image Classification (Q)
|
100% |
6509
1.21 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4308
69.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
4349
70.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
9058
146.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
8194
9.56 IPS |
|
|
Pose Estimation (HP)
|
100% |
8193
9.56 IPS |
|
|
Pose Estimation (Q)
|
96% |
25077
29.4 IPS |
|
|
Object Detection (SP)
|
100% |
2866
227.3 IPS |
|
|
Object Detection (HP)
|
100% |
2860
226.9 IPS |
|
|
Object Detection (Q)
|
88% |
8012
642.3 IPS |
|
|
Face Detection (SP)
|
100% |
9287
110.4 IPS |
|
|
Face Detection (HP)
|
100% |
9394
111.6 IPS |
|
|
Face Detection (Q)
|
100% |
20306
241.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8449
65.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
8484
65.4 IPS |
|
|
Depth Estimation (Q)
|
89% |
23357
181.7 IPS |
|
|
Style Transfer (SP)
|
100% |
23160
29.8 IPS |
|
|
Style Transfer (HP)
|
100% |
21574
27.7 IPS |
|
|
Style Transfer (Q)
|
98% |
71661
92.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4050
149.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4081
150.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
13634
504.9 IPS |
|
|
Text Classification (SP)
|
100% |
2825
3.77 KIPS |
|
|
Text Classification (HP)
|
100% |
2800
3.74 KIPS |
|
|
Text Classification (Q)
|
92% |
5020
6.74 KIPS |
|
|
Machine Translation (SP)
|
100% |
2276
39.2 IPS |
|
|
Machine Translation (HP)
|
100% |
2107
36.3 IPS |
|
|
Machine Translation (Q)
|
100% |
2103
36.2 IPS |