HP HP ProBook 460 16 inch G11 Notebook PC
Geekbench AI Score
2010
Single Precision Score
7976
Half Precision Score
12359
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | April 13 2025 12:54 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | HP HP ProBook 460 16 inch G11 Notebook PC |
| Motherboard | HP 8C84 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 7 155U |
| Topology | 1 Processor, 12 Cores, 14 Threads |
| Identifier | GenuineIntel Family 6 Model 170 Stepping 4 |
| Base Frequency | 1.70 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
969
180.2 IPS |
|
|
Image Classification (HP)
|
100% |
5956
1.11 KIPS |
|
|
Image Classification (Q)
|
100% |
8741
1.63 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1614
26.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2402
38.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3067
49.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
2565
2.99 IPS |
|
|
Pose Estimation (HP)
|
100% |
30098
35.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
64583
75.7 IPS |
|
|
Object Detection (SP)
|
100% |
1174
93.1 IPS |
|
|
Object Detection (HP)
|
100% |
4981
395.1 IPS |
|
|
Object Detection (Q)
|
87% |
8356
670.6 IPS |
|
|
Face Detection (SP)
|
100% |
3130
37.2 IPS |
|
|
Face Detection (HP)
|
100% |
13311
158.2 IPS |
|
|
Face Detection (Q)
|
100% |
27206
323.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
3148
24.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
12714
98.0 IPS |
|
|
Depth Estimation (Q)
|
88% |
24008
186.8 IPS |
|
|
Style Transfer (SP)
|
100% |
7616
9.79 IPS |
|
|
Style Transfer (HP)
|
100% |
37906
48.7 IPS |
|
|
Style Transfer (Q)
|
98% |
68381
88.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1265
46.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11692
431.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
19695
729.4 IPS |
|
|
Text Classification (SP)
|
100% |
1347
1.80 KIPS |
|
|
Text Classification (HP)
|
100% |
1808
2.41 KIPS |
|
|
Text Classification (Q)
|
92% |
1806
2.43 KIPS |
|
|
Machine Translation (SP)
|
100% |
1796
30.9 IPS |
|
|
Machine Translation (HP)
|
100% |
3586
61.8 IPS |
|
|
Machine Translation (Q)
|
100% |
3620
62.4 IPS |
