| User | Kos72 |
| Upload Date | March 15 2026 09:01 PM |
| Views | 8 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i9-14900KF |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG MAXIMUS Z790 APEX ENCORE |
| Power Plan | Prestazioni elevate |
| 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% |
4353
809.5 IPS |
|
|
Image Classification (HP)
|
100% |
4356
810.1 IPS |
|
|
Image Classification (Q)
|
100% |
11395
2.12 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6243
101.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
6332
102.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
12671
205.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
12274
14.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
13410
15.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
37895
44.4 IPS |
|
|
Object Detection (SP)
|
100% |
4171
330.9 IPS |
|
|
Object Detection (HP)
|
100% |
4162
330.1 IPS |
|
|
Object Detection (Q)
|
88% |
12270
983.6 IPS |
|
|
Face Detection (SP)
|
100% |
13811
164.1 IPS |
|
|
Face Detection (HP)
|
100% |
13799
164.0 IPS |
|
|
Face Detection (Q)
|
100% |
28235
335.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
12754
98.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
12744
98.2 IPS |
|
|
Depth Estimation (Q)
|
89% |
32095
249.6 IPS |
|
|
Style Transfer (SP)
|
100% |
39676
51.0 IPS |
|
|
Style Transfer (HP)
|
100% |
35549
45.7 IPS |
|
|
Style Transfer (Q)
|
98% |
102562
132.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6028
222.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5679
209.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
19292
714.5 IPS |
|
|
Text Classification (SP)
|
100% |
3408
4.55 KIPS |
|
|
Text Classification (HP)
|
100% |
3387
4.52 KIPS |
|
|
Text Classification (Q)
|
92% |
6101
8.20 KIPS |
|
|
Machine Translation (SP)
|
100% |
3363
57.9 IPS |
|
|
Machine Translation (HP)
|
100% |
3225
55.5 IPS |
|
|
Machine Translation (Q)
|
100% |
3258
56.1 IPS |