| User | roomac |
| Upload Date | May 01 2025 12:21 PM |
| Views | 15 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i7-14700 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | HP HP Pro Tower 400 G9 PCI Desktop PC |
| Motherboard | HP 8C59 |
| Power Plan | HP Optimized (recommended) |
| CPU Information | |
|---|---|
| Name | Intel Core i7-14700 |
| Topology | 1 Processor, 20 Cores, 28 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 2.10 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3719
691.6 IPS |
|
|
Image Classification (HP)
|
100% |
3690
686.1 IPS |
|
|
Image Classification (Q)
|
100% |
7857
1.46 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4628
75.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
4630
75.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
8332
135.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
7611
8.88 IPS |
|
|
Pose Estimation (HP)
|
100% |
7548
8.81 IPS |
|
|
Pose Estimation (Q)
|
96% |
27787
32.5 IPS |
|
|
Object Detection (SP)
|
100% |
3464
274.7 IPS |
|
|
Object Detection (HP)
|
100% |
3453
273.9 IPS |
|
|
Object Detection (Q)
|
88% |
7993
640.8 IPS |
|
|
Face Detection (SP)
|
100% |
9533
113.3 IPS |
|
|
Face Detection (HP)
|
100% |
9246
109.9 IPS |
|
|
Face Detection (Q)
|
100% |
19319
229.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
9253
71.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
9308
71.7 IPS |
|
|
Depth Estimation (Q)
|
89% |
22729
176.7 IPS |
|
|
Style Transfer (SP)
|
100% |
22128
28.4 IPS |
|
|
Style Transfer (HP)
|
100% |
22387
28.8 IPS |
|
|
Style Transfer (Q)
|
98% |
75896
97.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4651
171.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4658
172.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
13752
509.3 IPS |
|
|
Text Classification (SP)
|
100% |
3376
4.51 KIPS |
|
|
Text Classification (HP)
|
100% |
3336
4.45 KIPS |
|
|
Text Classification (Q)
|
92% |
4954
6.66 KIPS |
|
|
Machine Translation (SP)
|
100% |
4029
69.4 IPS |
|
|
Machine Translation (HP)
|
100% |
4076
70.2 IPS |
|
|
Machine Translation (Q)
|
100% |
3219
55.5 IPS |