HP HP ProBook 460 16 inch G11 Notebook PC
Geekbench AI Score
2061
Single Precision Score
971
Half Precision Score
5006
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | October 09 2025 11:06 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 5 125U |
| System Information | |
|---|---|
| Operating System | Windows 11 Pro (64-bit) |
| Model | HP HP ProBook 460 16 inch G11 Notebook PC |
| Motherboard | HP 8C84 |
| 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% |
1911
355.4 IPS |
|
|
Image Classification (HP)
|
100% |
450
83.7 IPS |
|
|
Image Classification (Q)
|
99% |
4258
794.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
969
15.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
639
10.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
5846
95.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
3617
4.22 IPS |
|
|
Pose Estimation (HP)
|
100% |
2027
2.37 IPS |
|
|
Pose Estimation (Q)
|
94% |
11788
13.8 IPS |
|
|
Object Detection (SP)
|
100% |
458
36.3 IPS |
|
|
Object Detection (HP)
|
100% |
320
25.4 IPS |
|
|
Object Detection (Q)
|
86% |
3725
299.4 IPS |
|
|
Face Detection (SP)
|
100% |
4441
52.8 IPS |
|
|
Face Detection (HP)
|
100% |
1131
13.4 IPS |
|
|
Face Detection (Q)
|
97% |
6629
79.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
4502
34.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
1469
11.3 IPS |
|
|
Depth Estimation (Q)
|
78% |
10515
83.9 IPS |
|
|
Style Transfer (SP)
|
100% |
8327
10.7 IPS |
|
|
Style Transfer (HP)
|
100% |
5395
6.94 IPS |
|
|
Style Transfer (Q)
|
98% |
14599
18.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1532
56.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1110
41.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3577
132.5 IPS |
|
|
Text Classification (SP)
|
100% |
1300
1.73 KIPS |
|
|
Text Classification (HP)
|
100% |
582
777.5 IPS |
|
|
Text Classification (Q)
|
97% |
1202
1.61 KIPS |
|
|
Machine Translation (SP)
|
100% |
1362
23.5 IPS |
|
|
Machine Translation (HP)
|
100% |
690
11.9 IPS |
|
|
Machine Translation (Q)
|
65% |
2069
41.6 IPS |
