HP OMEN Transcend Gaming Laptop 14-fb0xxx
Geekbench AI Score
1773
Single Precision Score
6890
Half Precision Score
10549
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | January 02 2025 04:47 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% |
877
163.0 IPS |
|
|
Image Classification (HP)
|
100% |
5076
944.0 IPS |
|
|
Image Classification (Q)
|
100% |
6811
1.27 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1360
22.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2157
35.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
2778
45.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
2587
3.02 IPS |
|
|
Pose Estimation (HP)
|
100% |
29085
33.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
61624
72.2 IPS |
|
|
Object Detection (SP)
|
100% |
964
76.5 IPS |
|
|
Object Detection (HP)
|
100% |
4104
325.5 IPS |
|
|
Object Detection (Q)
|
89% |
6915
553.8 IPS |
|
|
Face Detection (SP)
|
100% |
3043
36.2 IPS |
|
|
Face Detection (HP)
|
100% |
10594
125.9 IPS |
|
|
Face Detection (Q)
|
100% |
20561
244.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
2798
21.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
14814
114.1 IPS |
|
|
Depth Estimation (Q)
|
89% |
29696
231.0 IPS |
|
|
Style Transfer (SP)
|
100% |
7448
9.57 IPS |
|
|
Style Transfer (HP)
|
100% |
43551
56.0 IPS |
|
|
Style Transfer (Q)
|
98% |
77143
99.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1296
47.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10794
398.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
17773
658.2 IPS |
|
|
Text Classification (SP)
|
100% |
978
1.31 KIPS |
|
|
Text Classification (HP)
|
100% |
1136
1.52 KIPS |
|
|
Text Classification (Q)
|
92% |
1137
1.53 KIPS |
|
|
Machine Translation (SP)
|
100% |
1284
22.1 IPS |
|
|
Machine Translation (HP)
|
100% |
2203
38.0 IPS |
|
|
Machine Translation (Q)
|
100% |
2224
38.3 IPS |
