| Upload Date | November 16 2025 10:40 PM |
| Views | 2 |
| 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 | Micro-Star International Co., Ltd. Titan 18 HX A14VIG |
| Motherboard | Micro-Star International Co., Ltd. MS-1822 |
| Power Plan | Zrwnowaony |
| 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% |
1718
319.4 IPS |
|
|
Image Classification (HP)
|
100% |
2782
517.3 IPS |
|
|
Image Classification (Q)
|
99% |
4199
783.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2560
41.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
4143
67.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
4672
75.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
4416
5.15 IPS |
|
|
Pose Estimation (HP)
|
99% |
3254
3.80 IPS |
|
|
Pose Estimation (Q)
|
97% |
13435
15.7 IPS |
|
|
Object Detection (SP)
|
100% |
1536
121.8 IPS |
|
|
Object Detection (HP)
|
98% |
2571
204.6 IPS |
|
|
Object Detection (Q)
|
90% |
4752
380.0 IPS |
|
|
Face Detection (SP)
|
100% |
5431
64.5 IPS |
|
|
Face Detection (HP)
|
100% |
8065
95.8 IPS |
|
|
Face Detection (Q)
|
100% |
11172
132.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5172
39.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
8596
66.4 IPS |
|
|
Depth Estimation (Q)
|
89% |
11743
91.3 IPS |
|
|
Style Transfer (SP)
|
100% |
11518
14.8 IPS |
|
|
Style Transfer (HP)
|
100% |
19180
24.7 IPS |
|
|
Style Transfer (Q)
|
98% |
30645
39.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2091
77.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3403
125.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6987
258.8 IPS |
|
|
Text Classification (SP)
|
71% |
726
1.05 KIPS |
|
|
Text Classification (HP)
|
71% |
724
1.05 KIPS |
|
|
Text Classification (Q)
|
92% |
770
1.03 KIPS |
|
|
Machine Translation (SP)
|
100% |
1086
18.7 IPS |
|
|
Machine Translation (HP)
|
98% |
1483
25.6 IPS |
|
|
Machine Translation (Q)
|
100% |
1669
28.7 IPS |