HP HP ProBook 460 16 inch G11 Notebook PC
Geekbench AI Score
2201
Single Precision Score
892
Half Precision Score
4216
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 17 2025 10:24 AM |
| Views | 3 |
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 | Balanced |
| 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% |
1729
321.6 IPS |
|
|
Image Classification (HP)
|
100% |
385
71.6 IPS |
|
|
Image Classification (Q)
|
99% |
3961
738.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
929
15.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
575
9.32 IPS |
|
|
Image Segmentation (Q)
|
98% |
2252
36.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
3424
4.00 IPS |
|
|
Pose Estimation (HP)
|
100% |
2062
2.41 IPS |
|
|
Pose Estimation (Q)
|
94% |
12626
14.8 IPS |
|
|
Object Detection (SP)
|
100% |
1686
133.7 IPS |
|
|
Object Detection (HP)
|
100% |
429
34.0 IPS |
|
|
Object Detection (Q)
|
86% |
3845
309.0 IPS |
|
|
Face Detection (SP)
|
100% |
4303
51.1 IPS |
|
|
Face Detection (HP)
|
100% |
1064
12.6 IPS |
|
|
Face Detection (Q)
|
97% |
6474
77.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
4629
35.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
1335
10.3 IPS |
|
|
Depth Estimation (Q)
|
78% |
10461
83.5 IPS |
|
|
Style Transfer (SP)
|
100% |
8385
10.8 IPS |
|
|
Style Transfer (HP)
|
100% |
4982
6.40 IPS |
|
|
Style Transfer (Q)
|
98% |
12170
15.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1434
52.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
970
35.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2272
84.1 IPS |
|
|
Text Classification (SP)
|
100% |
1082
1.44 KIPS |
|
|
Text Classification (HP)
|
100% |
495
660.1 IPS |
|
|
Text Classification (Q)
|
97% |
1031
1.38 KIPS |
|
|
Machine Translation (SP)
|
100% |
1113
19.2 IPS |
|
|
Machine Translation (HP)
|
100% |
483
8.33 IPS |
|
|
Machine Translation (Q)
|
65% |
2125
42.7 IPS |
