HP OMEN Transcend Gaming Laptop 14-fb0xxx
Geekbench AI Score
10148
Single Precision Score
17066
Half Precision Score
8522
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | October 23 2025 07:17 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4060 Laptop GPU |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | HP OMEN Transcend Gaming Laptop 14-fb0xxx |
| Motherboard | HP 8C58 |
| Power Plan | Equilibrado |
| 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% |
4082
759.1 IPS |
|
|
Image Classification (HP)
|
99% |
4849
904.3 IPS |
|
|
Image Classification (Q)
|
99% |
4122
768.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
8177
132.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
11988
194.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
7105
115.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
62916
73.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
182276
212.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
56298
66.0 IPS |
|
|
Object Detection (SP)
|
100% |
5173
410.3 IPS |
|
|
Object Detection (HP)
|
100% |
8406
666.8 IPS |
|
|
Object Detection (Q)
|
84% |
4494
362.5 IPS |
|
|
Face Detection (SP)
|
100% |
12793
152.0 IPS |
|
|
Face Detection (HP)
|
100% |
20964
249.1 IPS |
|
|
Face Detection (Q)
|
97% |
11664
139.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
24692
190.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
43381
334.2 IPS |
|
|
Depth Estimation (Q)
|
77% |
22661
181.3 IPS |
|
|
Style Transfer (SP)
|
100% |
91054
117.1 IPS |
|
|
Style Transfer (HP)
|
100% |
222030
285.4 IPS |
|
|
Style Transfer (Q)
|
98% |
88531
114.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15090
557.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
29987
1.11 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
13329
493.6 IPS |
|
|
Text Classification (SP)
|
100% |
1209
1.61 KIPS |
|
|
Text Classification (HP)
|
99% |
1763
2.35 KIPS |
|
|
Text Classification (Q)
|
97% |
816
1.09 KIPS |
|
|
Machine Translation (SP)
|
100% |
2033
35.0 IPS |
|
|
Machine Translation (HP)
|
100% |
2205
38.0 IPS |
|
|
Machine Translation (Q)
|
70% |
1072
20.1 IPS |
