| User | dgbrownnt |
| Upload Date | February 04 2025 07:39 AM |
| Views | 12 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i9-14900HX |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUSTeK COMPUTER INC. ROG Strix SCAR 16 G634JZR_G634JZR |
| Motherboard | ASUSTeK COMPUTER INC. G634JZR |
| Power Plan | Performance |
| CPU Information | |
|---|---|
| Name | Intel Core i9-14900HX |
| Topology | 1 Processor, 24 Cores, 32 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 2.20 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2348
436.7 IPS |
|
|
Image Classification (HP)
|
100% |
2886
536.7 IPS |
|
|
Image Classification (Q)
|
100% |
7778
1.45 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3720
60.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
3713
60.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
8225
133.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
6964
8.13 IPS |
|
|
Pose Estimation (HP)
|
100% |
7002
8.17 IPS |
|
|
Pose Estimation (Q)
|
96% |
26313
30.8 IPS |
|
|
Object Detection (SP)
|
100% |
2610
207.0 IPS |
|
|
Object Detection (HP)
|
100% |
2695
213.8 IPS |
|
|
Object Detection (Q)
|
88% |
8608
690.0 IPS |
|
|
Face Detection (SP)
|
100% |
8215
97.6 IPS |
|
|
Face Detection (HP)
|
100% |
8091
96.1 IPS |
|
|
Face Detection (Q)
|
100% |
20554
244.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
7889
60.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
7605
58.6 IPS |
|
|
Depth Estimation (Q)
|
89% |
22334
173.7 IPS |
|
|
Style Transfer (SP)
|
100% |
20341
26.1 IPS |
|
|
Style Transfer (HP)
|
100% |
20432
26.3 IPS |
|
|
Style Transfer (Q)
|
98% |
76790
99.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3742
138.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3858
142.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
14286
529.0 IPS |
|
|
Text Classification (SP)
|
100% |
2294
3.06 KIPS |
|
|
Text Classification (HP)
|
100% |
2257
3.01 KIPS |
|
|
Text Classification (Q)
|
92% |
5383
7.23 KIPS |
|
|
Machine Translation (SP)
|
100% |
2388
41.1 IPS |
|
|
Machine Translation (HP)
|
100% |
2295
39.5 IPS |
|
|
Machine Translation (Q)
|
100% |
2504
43.1 IPS |