| User | JohnnieTheRabbit |
| Upload Date | February 23 2025 10:03 PM |
| Views | 12 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) RaptorLake-S Mobile Graphics Controller (iGPU) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | ASUSTeK COMPUTER INC. ROG Strix G16 G634JZR_G614JZR |
| Motherboard | ASUSTeK COMPUTER INC. G634JZR |
| Power Plan | Turbo |
| 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% |
1676
311.6 IPS |
|
|
Image Classification (HP)
|
100% |
2793
519.3 IPS |
|
|
Image Classification (Q)
|
99% |
3939
734.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2479
40.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
4016
65.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
4589
74.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
4489
5.24 IPS |
|
|
Pose Estimation (HP)
|
99% |
3271
3.82 IPS |
|
|
Pose Estimation (Q)
|
97% |
13286
15.6 IPS |
|
|
Object Detection (SP)
|
100% |
1496
118.7 IPS |
|
|
Object Detection (HP)
|
98% |
2430
193.3 IPS |
|
|
Object Detection (Q)
|
90% |
4396
351.4 IPS |
|
|
Face Detection (SP)
|
100% |
5281
62.8 IPS |
|
|
Face Detection (HP)
|
100% |
8108
96.3 IPS |
|
|
Face Detection (Q)
|
100% |
10889
129.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5203
40.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
8741
67.6 IPS |
|
|
Depth Estimation (Q)
|
89% |
11754
91.4 IPS |
|
|
Style Transfer (SP)
|
100% |
11593
14.9 IPS |
|
|
Style Transfer (HP)
|
100% |
20063
25.8 IPS |
|
|
Style Transfer (Q)
|
98% |
30501
39.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2086
77.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3386
125.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6896
255.4 IPS |
|
|
Text Classification (SP)
|
71% |
1171
1.69 KIPS |
|
|
Text Classification (HP)
|
71% |
1427
2.06 KIPS |
|
|
Text Classification (Q)
|
92% |
1467
1.97 KIPS |
|
|
Machine Translation (SP)
|
100% |
1139
19.6 IPS |
|
|
Machine Translation (HP)
|
98% |
1736
30.0 IPS |
|
|
Machine Translation (Q)
|
100% |
1735
29.9 IPS |