HP HP ProBook 460 16 inch G11 Notebook PC
Geekbench AI Score
2121
Single Precision Score
1013
Half Precision Score
4654
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | NSanjula |
| Upload Date | October 06 2025 05:02 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core Ultra 7 155U |
| 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% |
1848
343.7 IPS |
|
|
Image Classification (HP)
|
100% |
441
82.0 IPS |
|
|
Image Classification (Q)
|
99% |
4333
808.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
826
13.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
699
11.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
5377
87.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
3357
3.92 IPS |
|
|
Pose Estimation (HP)
|
100% |
2181
2.55 IPS |
|
|
Pose Estimation (Q)
|
94% |
11025
12.9 IPS |
|
|
Object Detection (SP)
|
100% |
1425
113.0 IPS |
|
|
Object Detection (HP)
|
100% |
473
37.5 IPS |
|
|
Object Detection (Q)
|
86% |
3308
265.9 IPS |
|
|
Face Detection (SP)
|
100% |
3972
47.2 IPS |
|
|
Face Detection (HP)
|
100% |
1131
13.4 IPS |
|
|
Face Detection (Q)
|
97% |
6053
72.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
4022
31.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
1430
11.0 IPS |
|
|
Depth Estimation (Q)
|
78% |
9228
73.6 IPS |
|
|
Style Transfer (SP)
|
100% |
7396
9.51 IPS |
|
|
Style Transfer (HP)
|
100% |
5321
6.84 IPS |
|
|
Style Transfer (Q)
|
98% |
12374
16.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1452
53.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1087
40.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3462
128.2 IPS |
|
|
Text Classification (SP)
|
100% |
1188
1.59 KIPS |
|
|
Text Classification (HP)
|
100% |
588
785.4 IPS |
|
|
Text Classification (Q)
|
97% |
1293
1.73 KIPS |
|
|
Machine Translation (SP)
|
100% |
1243
21.4 IPS |
|
|
Machine Translation (HP)
|
100% |
654
11.3 IPS |
|
|
Machine Translation (Q)
|
65% |
1814
36.4 IPS |
