HP HP ProBook 460 16 inch G11 Notebook PC
Geekbench AI Score
2481
Single Precision Score
8224
Half Precision Score
13023
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | December 04 2025 09:02 PM |
| Views | 2 |
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 HP ProBook 460 16 inch G11 Notebook PC |
| Motherboard | HP 8C84 |
| Power Plan | HP Optimized (Modern Standby) |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 5 125U |
| Topology | 1 Processor, 12 Cores, 14 Threads |
| Identifier | GenuineIntel Family 6 Model 170 Stepping 4 |
| Base Frequency | 1.30 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1342
249.6 IPS |
|
|
Image Classification (HP)
|
100% |
6075
1.13 KIPS |
|
|
Image Classification (Q)
|
100% |
8918
1.66 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1915
31.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2398
38.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3025
49.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
3472
4.05 IPS |
|
|
Pose Estimation (HP)
|
100% |
30189
35.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
63348
74.2 IPS |
|
|
Object Detection (SP)
|
100% |
1262
100.1 IPS |
|
|
Object Detection (HP)
|
100% |
4992
396.0 IPS |
|
|
Object Detection (Q)
|
88% |
8669
695.0 IPS |
|
|
Face Detection (SP)
|
100% |
3566
42.4 IPS |
|
|
Face Detection (HP)
|
100% |
13117
155.9 IPS |
|
|
Face Detection (Q)
|
100% |
27252
323.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
3890
30.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
12774
98.4 IPS |
|
|
Depth Estimation (Q)
|
88% |
24408
189.9 IPS |
|
|
Style Transfer (SP)
|
100% |
8628
11.1 IPS |
|
|
Style Transfer (HP)
|
100% |
38031
48.9 IPS |
|
|
Style Transfer (Q)
|
98% |
71577
92.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1801
66.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
14099
520.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
27361
1.01 KIPS |
|
|
Text Classification (SP)
|
100% |
1591
2.12 KIPS |
|
|
Text Classification (HP)
|
100% |
1931
2.58 KIPS |
|
|
Text Classification (Q)
|
92% |
1917
2.58 KIPS |
|
|
Machine Translation (SP)
|
100% |
2296
39.6 IPS |
|
|
Machine Translation (HP)
|
100% |
3717
64.0 IPS |
|
|
Machine Translation (Q)
|
100% |
3793
65.3 IPS |
