HP OMEN 35L GT16-0xxx
Geekbench AI Score
4872
Single Precision Score
1807
Half Precision Score
8860
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | December 14 2025 09:38 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 7 265F |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | HP OMEN 35L GT16-0xxx |
| Motherboard | HP 8CF2 |
| Power Plan | Equilibrado |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 7 265F |
| Topology | 1 Processor, 20 Cores |
| Identifier | GenuineIntel Family 6 Model 198 Stepping 2 |
| Base Frequency | 2.40 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4968
923.9 IPS |
|
|
Image Classification (HP)
|
100% |
731
136.0 IPS |
|
|
Image Classification (Q)
|
99% |
9046
1.69 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2544
41.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1417
23.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
13764
223.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
11724
13.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
6032
7.04 IPS |
|
|
Pose Estimation (Q)
|
94% |
24131
28.3 IPS |
|
|
Object Detection (SP)
|
100% |
1686
133.8 IPS |
|
|
Object Detection (HP)
|
100% |
633
50.2 IPS |
|
|
Object Detection (Q)
|
86% |
9607
772.1 IPS |
|
|
Face Detection (SP)
|
100% |
11366
135.1 IPS |
|
|
Face Detection (HP)
|
100% |
1840
21.9 IPS |
|
|
Face Detection (Q)
|
97% |
11186
133.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
13233
101.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
1999
15.4 IPS |
|
|
Depth Estimation (Q)
|
78% |
11607
92.6 IPS |
|
|
Style Transfer (SP)
|
100% |
16158
20.8 IPS |
|
|
Style Transfer (HP)
|
100% |
9964
12.8 IPS |
|
|
Style Transfer (Q)
|
98% |
20153
26.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2648
97.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2209
81.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6263
231.9 IPS |
|
|
Text Classification (SP)
|
100% |
1743
2.33 KIPS |
|
|
Text Classification (HP)
|
100% |
967
1.29 KIPS |
|
|
Text Classification (Q)
|
97% |
1603
2.15 KIPS |
|
|
Machine Translation (SP)
|
100% |
2691
46.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1200
20.7 IPS |
|
|
Machine Translation (Q)
|
65% |
3932
79.0 IPS |
