HP OMEN Transcend Gaming Laptop 14-fb0xxx
Geekbench AI Score
1413
Single Precision Score
6136
Half Precision Score
9442
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | January 02 2025 04:44 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | HP OMEN Transcend Gaming Laptop 14-fb0xxx |
| Motherboard | HP 8C58 |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 9 185H |
| Topology | 1 Processor, 16 Cores, 22 Threads |
| Identifier | GenuineIntel Family 6 Model 170 Stepping 4 |
| Base Frequency | 2.50 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
671
124.8 IPS |
|
|
Image Classification (HP)
|
100% |
4181
777.5 IPS |
|
|
Image Classification (Q)
|
100% |
5933
1.10 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1231
20.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1982
32.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
2596
42.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
2172
2.53 IPS |
|
|
Pose Estimation (HP)
|
100% |
27940
32.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
58187
68.2 IPS |
|
|
Object Detection (SP)
|
100% |
827
65.6 IPS |
|
|
Object Detection (HP)
|
100% |
3401
269.7 IPS |
|
|
Object Detection (Q)
|
89% |
6019
482.1 IPS |
|
|
Face Detection (SP)
|
100% |
2836
33.7 IPS |
|
|
Face Detection (HP)
|
100% |
9366
111.3 IPS |
|
|
Face Detection (Q)
|
100% |
19852
235.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
2013
15.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
14723
113.4 IPS |
|
|
Depth Estimation (Q)
|
89% |
28829
224.3 IPS |
|
|
Style Transfer (SP)
|
100% |
6790
8.73 IPS |
|
|
Style Transfer (HP)
|
100% |
41361
53.2 IPS |
|
|
Style Transfer (Q)
|
98% |
71034
91.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1108
40.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9269
342.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
14336
530.9 IPS |
|
|
Text Classification (SP)
|
100% |
536
715.0 IPS |
|
|
Text Classification (HP)
|
100% |
823
1.10 KIPS |
|
|
Text Classification (Q)
|
92% |
788
1.06 KIPS |
|
|
Machine Translation (SP)
|
100% |
933
16.1 IPS |
|
|
Machine Translation (HP)
|
100% |
2210
38.1 IPS |
|
|
Machine Translation (Q)
|
100% |
2275
39.2 IPS |
