HP HP ProBook 460 16 inch G11 Notebook PC
Geekbench AI Score
2326
Single Precision Score
1007
Half Precision Score
4760
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | roomac |
| Upload Date | June 06 2025 05:13 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 5 125U |
| 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 | HP Optimized (Modern Standby) |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) 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% |
1786
332.1 IPS |
|
|
Image Classification (HP)
|
100% |
419
77.8 IPS |
|
|
Image Classification (Q)
|
99% |
4090
762.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1010
16.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
664
10.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
2488
40.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
3665
4.28 IPS |
|
|
Pose Estimation (HP)
|
100% |
2250
2.63 IPS |
|
|
Pose Estimation (Q)
|
94% |
13043
15.3 IPS |
|
|
Object Detection (SP)
|
100% |
1736
137.7 IPS |
|
|
Object Detection (HP)
|
100% |
517
41.0 IPS |
|
|
Object Detection (Q)
|
86% |
4125
331.5 IPS |
|
|
Face Detection (SP)
|
100% |
3790
45.0 IPS |
|
|
Face Detection (HP)
|
100% |
1112
13.2 IPS |
|
|
Face Detection (Q)
|
97% |
6563
78.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
4837
37.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
1404
10.8 IPS |
|
|
Depth Estimation (Q)
|
78% |
10528
84.0 IPS |
|
|
Style Transfer (SP)
|
100% |
8834
11.4 IPS |
|
|
Style Transfer (HP)
|
100% |
5474
7.04 IPS |
|
|
Style Transfer (Q)
|
98% |
13838
17.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1724
63.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1119
41.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3182
117.8 IPS |
|
|
Text Classification (SP)
|
100% |
982
1.31 KIPS |
|
|
Text Classification (HP)
|
100% |
568
758.6 IPS |
|
|
Text Classification (Q)
|
97% |
1480
1.98 KIPS |
|
|
Machine Translation (SP)
|
100% |
1478
25.5 IPS |
|
|
Machine Translation (HP)
|
100% |
610
10.5 IPS |
|
|
Machine Translation (Q)
|
65% |
2427
48.8 IPS |
