| Upload Date | November 05 2025 03:51 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% |
3324
618.1 IPS |
|
|
Image Classification (HP)
|
100% |
3350
623.0 IPS |
|
|
Image Classification (Q)
|
100% |
8490
1.58 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4507
73.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
4518
73.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
9388
152.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
8549
9.97 IPS |
|
|
Pose Estimation (HP)
|
100% |
8354
9.75 IPS |
|
|
Pose Estimation (Q)
|
96% |
26065
30.5 IPS |
|
|
Object Detection (SP)
|
100% |
2860
226.9 IPS |
|
|
Object Detection (HP)
|
100% |
2832
224.7 IPS |
|
|
Object Detection (Q)
|
88% |
8743
700.9 IPS |
|
|
Face Detection (SP)
|
100% |
9377
111.4 IPS |
|
|
Face Detection (HP)
|
100% |
9475
112.6 IPS |
|
|
Face Detection (Q)
|
100% |
20720
246.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8294
63.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
8139
62.7 IPS |
|
|
Depth Estimation (Q)
|
89% |
23331
181.5 IPS |
|
|
Style Transfer (SP)
|
100% |
22837
29.4 IPS |
|
|
Style Transfer (HP)
|
100% |
22779
29.3 IPS |
|
|
Style Transfer (Q)
|
98% |
72610
93.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4226
156.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4221
155.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
13971
517.4 IPS |
|
|
Text Classification (SP)
|
100% |
2827
3.77 KIPS |
|
|
Text Classification (HP)
|
100% |
2785
3.72 KIPS |
|
|
Text Classification (Q)
|
92% |
5058
6.79 KIPS |
|
|
Machine Translation (SP)
|
100% |
2379
41.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1588
27.4 IPS |
|
|
Machine Translation (Q)
|
100% |
2184
37.6 IPS |