| User | RMK1987 |
| Upload Date | December 13 2025 02:41 AM |
| Views | 9 |
| 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 G16 G614JIR_G614JIR |
| Motherboard | ASUSTeK COMPUTER INC. G614JIR |
| Power Plan | High 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% |
3515
653.7 IPS |
|
|
Image Classification (HP)
|
100% |
3429
637.6 IPS |
|
|
Image Classification (Q)
|
100% |
8759
1.63 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4117
66.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
4211
68.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
7483
121.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
10640
12.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
10293
12.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
30411
35.6 IPS |
|
|
Object Detection (SP)
|
100% |
3053
242.2 IPS |
|
|
Object Detection (HP)
|
100% |
3091
245.2 IPS |
|
|
Object Detection (Q)
|
88% |
9566
766.8 IPS |
|
|
Face Detection (SP)
|
100% |
10149
120.6 IPS |
|
|
Face Detection (HP)
|
100% |
10134
120.4 IPS |
|
|
Face Detection (Q)
|
100% |
23038
273.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
9951
76.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
9987
76.9 IPS |
|
|
Depth Estimation (Q)
|
89% |
26400
205.3 IPS |
|
|
Style Transfer (SP)
|
100% |
29016
37.3 IPS |
|
|
Style Transfer (HP)
|
100% |
27474
35.3 IPS |
|
|
Style Transfer (Q)
|
98% |
86687
111.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4670
172.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4152
153.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
15630
578.8 IPS |
|
|
Text Classification (SP)
|
100% |
1538
2.05 KIPS |
|
|
Text Classification (HP)
|
100% |
1562
2.09 KIPS |
|
|
Text Classification (Q)
|
92% |
4312
5.79 KIPS |
|
|
Machine Translation (SP)
|
100% |
2696
46.4 IPS |
|
|
Machine Translation (HP)
|
100% |
2653
45.7 IPS |
|
|
Machine Translation (Q)
|
100% |
2630
45.3 IPS |