HP HP ProBook 460 16 inch G11 Notebook PC
Geekbench AI Score
1927
Single Precision Score
820
Half Precision Score
3767
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | AadLiefveld |
| Upload Date | April 16 2025 05:37 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% |
1522
283.1 IPS |
|
|
Image Classification (HP)
|
100% |
330
61.3 IPS |
|
|
Image Classification (Q)
|
99% |
3604
672.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
764
12.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
548
8.88 IPS |
|
|
Image Segmentation (Q)
|
98% |
2131
34.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
3072
3.58 IPS |
|
|
Pose Estimation (HP)
|
100% |
1804
2.11 IPS |
|
|
Pose Estimation (Q)
|
94% |
11492
13.5 IPS |
|
|
Object Detection (SP)
|
100% |
1509
119.7 IPS |
|
|
Object Detection (HP)
|
100% |
388
30.7 IPS |
|
|
Object Detection (Q)
|
86% |
3301
265.3 IPS |
|
|
Face Detection (SP)
|
100% |
3155
37.5 IPS |
|
|
Face Detection (HP)
|
100% |
902
10.7 IPS |
|
|
Face Detection (Q)
|
97% |
4747
56.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
3969
30.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
1187
9.14 IPS |
|
|
Depth Estimation (Q)
|
78% |
8766
69.9 IPS |
|
|
Style Transfer (SP)
|
100% |
7474
9.61 IPS |
|
|
Style Transfer (HP)
|
100% |
4739
6.09 IPS |
|
|
Style Transfer (Q)
|
98% |
11492
14.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1409
52.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1020
37.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2261
83.7 IPS |
|
|
Text Classification (SP)
|
100% |
992
1.32 KIPS |
|
|
Text Classification (HP)
|
100% |
442
589.7 IPS |
|
|
Text Classification (Q)
|
97% |
1098
1.47 KIPS |
|
|
Machine Translation (SP)
|
100% |
1002
17.3 IPS |
|
|
Machine Translation (HP)
|
100% |
480
8.27 IPS |
|
|
Machine Translation (Q)
|
65% |
1667
33.5 IPS |
