HP OMEN Transcend Gaming Laptop 14-fb0xxx
Geekbench AI Score
12583
Single Precision Score
21945
Half Precision Score
9596
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | December 10 2025 01:34 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4060 Laptop GPU |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home Single Language (64-bit) |
| Model | HP OMEN Transcend Gaming Laptop 14-fb0xxx |
| Motherboard | HP 8C58 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 7 155H |
| Topology | 1 Processor, 16 Cores, 22 Threads |
| Identifier | GenuineIntel Family 6 Model 170 Stepping 4 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5550
1.03 KIPS |
|
|
Image Classification (HP)
|
99% |
9842
1.84 KIPS |
|
|
Image Classification (Q)
|
99% |
5304
989.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
10819
175.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
15514
251.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
6899
112.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
51779
60.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
187342
218.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
50359
59.0 IPS |
|
|
Object Detection (SP)
|
100% |
6236
494.6 IPS |
|
|
Object Detection (HP)
|
100% |
10788
855.7 IPS |
|
|
Object Detection (Q)
|
84% |
5004
403.6 IPS |
|
|
Face Detection (SP)
|
100% |
14468
171.9 IPS |
|
|
Face Detection (HP)
|
100% |
24677
293.2 IPS |
|
|
Face Detection (Q)
|
97% |
13861
165.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
31222
240.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
60753
468.1 IPS |
|
|
Depth Estimation (Q)
|
77% |
27323
218.6 IPS |
|
|
Style Transfer (SP)
|
100% |
106417
136.8 IPS |
|
|
Style Transfer (HP)
|
100% |
264296
339.8 IPS |
|
|
Style Transfer (Q)
|
98% |
87299
112.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
19452
718.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
31192
1.15 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
14588
540.2 IPS |
|
|
Text Classification (SP)
|
100% |
1986
2.65 KIPS |
|
|
Text Classification (HP)
|
99% |
2460
3.28 KIPS |
|
|
Text Classification (Q)
|
97% |
1015
1.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
2764
47.6 IPS |
|
|
Machine Translation (HP)
|
100% |
2761
47.6 IPS |
|
|
Machine Translation (Q)
|
70% |
1467
27.5 IPS |
