HP HP ProBook 460 16 inch G11 Notebook PC
Geekbench AI Score
1920
Single Precision Score
7941
Half Precision Score
12364
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | April 13 2025 01:06 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% |
1231
228.9 IPS |
|
|
Image Classification (HP)
|
100% |
5730
1.07 KIPS |
|
|
Image Classification (Q)
|
100% |
8870
1.65 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1768
28.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2409
39.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3083
50.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
2807
3.28 IPS |
|
|
Pose Estimation (HP)
|
100% |
30142
35.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
64528
75.6 IPS |
|
|
Object Detection (SP)
|
100% |
993
78.7 IPS |
|
|
Object Detection (HP)
|
100% |
4995
396.2 IPS |
|
|
Object Detection (Q)
|
87% |
8395
673.8 IPS |
|
|
Face Detection (SP)
|
100% |
2941
34.9 IPS |
|
|
Face Detection (HP)
|
100% |
13245
157.4 IPS |
|
|
Face Detection (Q)
|
100% |
27375
325.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
2947
22.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
12533
96.6 IPS |
|
|
Depth Estimation (Q)
|
88% |
23652
184.0 IPS |
|
|
Style Transfer (SP)
|
100% |
7436
9.56 IPS |
|
|
Style Transfer (HP)
|
100% |
38244
49.2 IPS |
|
|
Style Transfer (Q)
|
98% |
68650
88.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1171
43.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11776
434.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
19633
727.1 IPS |
|
|
Text Classification (SP)
|
100% |
909
1.21 KIPS |
|
|
Text Classification (HP)
|
100% |
1797
2.40 KIPS |
|
|
Text Classification (Q)
|
92% |
1839
2.47 KIPS |
|
|
Machine Translation (SP)
|
100% |
1642
28.3 IPS |
|
|
Machine Translation (HP)
|
100% |
3574
61.6 IPS |
|
|
Machine Translation (Q)
|
100% |
3513
60.5 IPS |
