HP OMEN by HP Transcend Gaming Laptop 16-u0xxx
Geekbench AI Score
2355
Single Precision Score
2485
Half Precision Score
10846
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | neotrope |
| Upload Date | December 07 2024 01:02 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | 13th Gen Intel(R) Core(TM) i9-13900HX |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | HP OMEN by HP Transcend Gaming Laptop 16-u0xxx |
| Motherboard | HP 8BB3 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i9-13900HX |
| 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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1081
201.0 IPS |
|
|
Image Classification (HP)
|
100% |
1301
241.9 IPS |
|
|
Image Classification (Q)
|
100% |
7815
1.45 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1622
26.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1687
27.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
5055
81.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
4443
5.18 IPS |
|
|
Pose Estimation (HP)
|
100% |
4459
5.20 IPS |
|
|
Pose Estimation (Q)
|
96% |
25207
29.5 IPS |
|
|
Object Detection (SP)
|
100% |
1408
111.7 IPS |
|
|
Object Detection (HP)
|
100% |
1400
111.0 IPS |
|
|
Object Detection (Q)
|
88% |
7157
573.7 IPS |
|
|
Face Detection (SP)
|
100% |
4308
51.2 IPS |
|
|
Face Detection (HP)
|
100% |
3971
47.2 IPS |
|
|
Face Detection (Q)
|
100% |
20053
238.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
3526
27.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
3680
28.4 IPS |
|
|
Depth Estimation (Q)
|
89% |
22539
175.3 IPS |
|
|
Style Transfer (SP)
|
100% |
10598
13.6 IPS |
|
|
Style Transfer (HP)
|
100% |
13198
17.0 IPS |
|
|
Style Transfer (Q)
|
98% |
72345
93.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1668
61.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2034
75.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
13896
514.6 IPS |
|
|
Text Classification (SP)
|
100% |
1203
1.61 KIPS |
|
|
Text Classification (HP)
|
100% |
1136
1.52 KIPS |
|
|
Text Classification (Q)
|
92% |
4801
6.45 KIPS |
|
|
Machine Translation (SP)
|
100% |
1483
25.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1471
25.3 IPS |
|
|
Machine Translation (Q)
|
100% |
1450
25.0 IPS |
