HP HP ProBook 460 16 inch G11 Notebook PC
Geekbench AI Score
2579
Single Precision Score
4619
Half Precision Score
1809
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | roomac |
| Upload Date | June 06 2025 05:19 PM |
| Views | 5 |
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(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% |
1349
250.9 IPS |
|
|
Image Classification (HP)
|
100% |
3164
588.4 IPS |
|
|
Image Classification (Q)
|
100% |
1132
210.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1415
22.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
3919
63.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
1168
19.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
6492
7.57 IPS |
|
|
Pose Estimation (HP)
|
100% |
9861
11.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
5561
6.52 IPS |
|
|
Object Detection (SP)
|
100% |
1411
111.9 IPS |
|
|
Object Detection (HP)
|
99% |
3135
249.4 IPS |
|
|
Object Detection (Q)
|
86% |
1184
95.2 IPS |
|
|
Face Detection (SP)
|
100% |
2168
25.8 IPS |
|
|
Face Detection (HP)
|
100% |
4364
51.9 IPS |
|
|
Face Detection (Q)
|
97% |
1680
20.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5065
39.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
12008
92.8 IPS |
|
|
Depth Estimation (Q)
|
76% |
3978
31.9 IPS |
|
|
Style Transfer (SP)
|
100% |
20580
26.5 IPS |
|
|
Style Transfer (HP)
|
100% |
33391
42.9 IPS |
|
|
Style Transfer (Q)
|
98% |
15031
19.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3646
134.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6445
238.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2004
74.2 IPS |
|
|
Text Classification (SP)
|
86% |
696
941.3 IPS |
|
|
Text Classification (HP)
|
99% |
617
823.2 IPS |
|
|
Text Classification (Q)
|
84% |
333
452.3 IPS |
|
|
Machine Translation (SP)
|
100% |
1303
22.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1658
28.6 IPS |
|
|
Machine Translation (Q)
|
70% |
646
12.1 IPS |
