HP OMEN 35L GT16-0xxx
Geekbench AI Score
6055
Single Precision Score
10132
Half Precision Score
15762
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| User | Symbol1ca |
| Upload Date | March 07 2026 08:46 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | HP OMEN 35L GT16-0xxx |
| Motherboard | HP 8CF3 |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 7 265K |
| Topology | 1 Processor, 20 Cores |
| Identifier | GenuineIntel Family 6 Model 198 Stepping 2 |
| Base Frequency | 3.90 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3901
725.5 IPS |
|
|
Image Classification (HP)
|
100% |
7127
1.33 KIPS |
|
|
Image Classification (Q)
|
100% |
10123
1.88 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4974
80.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2777
45.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3410
55.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
7622
8.89 IPS |
|
|
Pose Estimation (HP)
|
100% |
34084
39.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
75085
88.0 IPS |
|
|
Object Detection (SP)
|
100% |
3298
261.6 IPS |
|
|
Object Detection (HP)
|
100% |
6153
488.0 IPS |
|
|
Object Detection (Q)
|
88% |
10318
827.2 IPS |
|
|
Face Detection (SP)
|
100% |
10616
126.1 IPS |
|
|
Face Detection (HP)
|
100% |
18365
218.2 IPS |
|
|
Face Detection (Q)
|
100% |
34023
404.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
9407
72.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
17851
137.5 IPS |
|
|
Depth Estimation (Q)
|
88% |
34222
266.3 IPS |
|
|
Style Transfer (SP)
|
100% |
22202
28.5 IPS |
|
|
Style Transfer (HP)
|
100% |
53333
68.6 IPS |
|
|
Style Transfer (Q)
|
98% |
93876
121.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4525
167.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
16228
599.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
31495
1.17 KIPS |
|
|
Text Classification (SP)
|
100% |
3115
4.16 KIPS |
|
|
Text Classification (HP)
|
100% |
2082
2.78 KIPS |
|
|
Text Classification (Q)
|
92% |
2164
2.91 KIPS |
|
|
Machine Translation (SP)
|
100% |
4352
75.0 IPS |
|
|
Machine Translation (HP)
|
100% |
4652
80.1 IPS |
|
|
Machine Translation (Q)
|
100% |
4751
81.8 IPS |
