HP HP ProBook 460 16 inch G11 Notebook PC
Geekbench AI Score
2313
Single Precision Score
1007
Half Precision Score
4615
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | September 25 2025 10:54 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 5 125U |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Famille (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% |
1785
332.0 IPS |
|
|
Image Classification (HP)
|
100% |
425
79.1 IPS |
|
|
Image Classification (Q)
|
99% |
4056
756.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
955
15.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
671
10.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
2463
40.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
3688
4.30 IPS |
|
|
Pose Estimation (HP)
|
100% |
2290
2.67 IPS |
|
|
Pose Estimation (Q)
|
94% |
13440
15.8 IPS |
|
|
Object Detection (SP)
|
100% |
1732
137.4 IPS |
|
|
Object Detection (HP)
|
100% |
502
39.8 IPS |
|
|
Object Detection (Q)
|
86% |
3858
310.1 IPS |
|
|
Face Detection (SP)
|
100% |
3655
43.4 IPS |
|
|
Face Detection (HP)
|
100% |
1148
13.6 IPS |
|
|
Face Detection (Q)
|
97% |
6388
76.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
4885
37.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
1475
11.4 IPS |
|
|
Depth Estimation (Q)
|
78% |
10485
83.7 IPS |
|
|
Style Transfer (SP)
|
100% |
8853
11.4 IPS |
|
|
Style Transfer (HP)
|
100% |
5444
7.00 IPS |
|
|
Style Transfer (Q)
|
98% |
13962
18.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1705
63.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1151
42.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2935
108.7 IPS |
|
|
Text Classification (SP)
|
100% |
1150
1.53 KIPS |
|
|
Text Classification (HP)
|
100% |
513
685.3 IPS |
|
|
Text Classification (Q)
|
97% |
1539
2.06 KIPS |
|
|
Machine Translation (SP)
|
100% |
1300
22.4 IPS |
|
|
Machine Translation (HP)
|
100% |
603
10.4 IPS |
|
|
Machine Translation (Q)
|
65% |
2006
40.3 IPS |
