HP HP ProBook 460 16 inch G11 Notebook PC
Geekbench AI Score
1847
Single Precision Score
4669
Half Precision Score
1369
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | July 01 2025 08:47 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Graphics |
| 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 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% |
726
135.0 IPS |
|
|
Image Classification (HP)
|
100% |
3040
565.3 IPS |
|
|
Image Classification (Q)
|
100% |
659
122.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
729
11.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
3879
62.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
596
9.69 IPS |
|
|
Pose Estimation (SP)
|
100% |
6089
7.10 IPS |
|
|
Pose Estimation (HP)
|
100% |
10028
11.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
5303
6.22 IPS |
|
|
Object Detection (SP)
|
100% |
692
54.9 IPS |
|
|
Object Detection (HP)
|
99% |
3152
250.7 IPS |
|
|
Object Detection (Q)
|
86% |
629
50.6 IPS |
|
|
Face Detection (SP)
|
100% |
586
6.97 IPS |
|
|
Face Detection (HP)
|
100% |
4355
51.8 IPS |
|
|
Face Detection (Q)
|
97% |
572
6.83 IPS |
|
|
Depth Estimation (SP)
|
100% |
3651
28.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
12427
96.1 IPS |
|
|
Depth Estimation (Q)
|
76% |
3029
24.3 IPS |
|
|
Style Transfer (SP)
|
100% |
20093
25.8 IPS |
|
|
Style Transfer (HP)
|
100% |
34391
44.2 IPS |
|
|
Style Transfer (Q)
|
98% |
14559
18.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3882
143.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6575
242.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2463
91.2 IPS |
|
|
Text Classification (SP)
|
86% |
710
960.0 IPS |
|
|
Text Classification (HP)
|
99% |
645
860.4 IPS |
|
|
Text Classification (Q)
|
84% |
429
582.0 IPS |
|
|
Machine Translation (SP)
|
100% |
1750
30.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1674
28.8 IPS |
|
|
Machine Translation (Q)
|
70% |
664
12.5 IPS |
