HP HP ProBook 460 16 inch G11 Notebook PC
Geekbench AI Score
1746
Single Precision Score
756
Half Precision Score
3451
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | AadLiefveld |
| Upload Date | May 05 2025 07:28 AM |
| Views | 12 |
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 | 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1304
242.5 IPS |
|
|
Image Classification (HP)
|
100% |
306
57.0 IPS |
|
|
Image Classification (Q)
|
99% |
3223
601.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
729
11.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
484
7.85 IPS |
|
|
Image Segmentation (Q)
|
98% |
1952
31.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
2767
3.23 IPS |
|
|
Pose Estimation (HP)
|
100% |
1724
2.01 IPS |
|
|
Pose Estimation (Q)
|
94% |
10250
12.0 IPS |
|
|
Object Detection (SP)
|
100% |
1378
109.3 IPS |
|
|
Object Detection (HP)
|
100% |
372
29.5 IPS |
|
|
Object Detection (Q)
|
86% |
3181
255.6 IPS |
|
|
Face Detection (SP)
|
100% |
3049
36.2 IPS |
|
|
Face Detection (HP)
|
100% |
853
10.1 IPS |
|
|
Face Detection (Q)
|
97% |
4913
58.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
3669
28.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
1100
8.47 IPS |
|
|
Depth Estimation (Q)
|
78% |
8056
64.3 IPS |
|
|
Style Transfer (SP)
|
100% |
6502
8.36 IPS |
|
|
Style Transfer (HP)
|
100% |
4542
5.84 IPS |
|
|
Style Transfer (Q)
|
98% |
10129
13.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1257
46.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
948
35.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2049
75.9 IPS |
|
|
Text Classification (SP)
|
100% |
851
1.14 KIPS |
|
|
Text Classification (HP)
|
100% |
382
509.2 IPS |
|
|
Text Classification (Q)
|
97% |
882
1.18 KIPS |
|
|
Machine Translation (SP)
|
100% |
937
16.1 IPS |
|
|
Machine Translation (HP)
|
100% |
420
7.23 IPS |
|
|
Machine Translation (Q)
|
65% |
1615
32.5 IPS |
