| User | rennsport |
| Upload Date | March 20 2025 12:46 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 Pro (64-bit) |
| Model | ASUSTeK COMPUTER INC. ROG Strix SCAR 18 G834JYR_G834JYR |
| Motherboard | ASUSTeK COMPUTER INC. G834JYR |
| 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 | 64.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1676
311.8 IPS |
|
|
Image Classification (HP)
|
100% |
2786
518.1 IPS |
|
|
Image Classification (Q)
|
99% |
3222
600.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2491
40.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
3991
64.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
4613
74.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
4515
5.27 IPS |
|
|
Pose Estimation (HP)
|
99% |
3288
3.84 IPS |
|
|
Pose Estimation (Q)
|
97% |
13346
15.6 IPS |
|
|
Object Detection (SP)
|
100% |
1499
118.9 IPS |
|
|
Object Detection (HP)
|
98% |
2411
191.8 IPS |
|
|
Object Detection (Q)
|
90% |
3989
318.9 IPS |
|
|
Face Detection (SP)
|
100% |
5357
63.7 IPS |
|
|
Face Detection (HP)
|
100% |
8069
95.9 IPS |
|
|
Face Detection (Q)
|
100% |
10965
130.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5234
40.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
8725
67.4 IPS |
|
|
Depth Estimation (Q)
|
89% |
11734
91.2 IPS |
|
|
Style Transfer (SP)
|
100% |
11657
15.0 IPS |
|
|
Style Transfer (HP)
|
100% |
20235
26.0 IPS |
|
|
Style Transfer (Q)
|
98% |
30710
39.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2089
77.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3420
126.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6833
253.1 IPS |
|
|
Text Classification (SP)
|
71% |
589
851.3 IPS |
|
|
Text Classification (HP)
|
71% |
735
1.06 KIPS |
|
|
Text Classification (Q)
|
92% |
746
1.00 KIPS |
|
|
Machine Translation (SP)
|
100% |
769
13.2 IPS |
|
|
Machine Translation (HP)
|
98% |
1081
18.7 IPS |
|
|
Machine Translation (Q)
|
100% |
1088
18.7 IPS |