HP HP ProBook 460 16 inch G11 Notebook PC
Geekbench AI Score
2288
Single Precision Score
973
Half Precision Score
4769
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| Upload Date | January 27 2026 03:27 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core Ultra 7 155H |
| 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 | Ausbalanciert |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 7 155H |
| Topology | 1 Processor, 16 Cores, 22 Threads |
| Identifier | GenuineIntel Family 6 Model 170 Stepping 4 |
| Base Frequency | 1.40 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2390
444.5 IPS |
|
|
Image Classification (HP)
|
100% |
450
83.7 IPS |
|
|
Image Classification (Q)
|
99% |
4453
830.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
990
16.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
729
11.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
6647
108.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
4572
5.33 IPS |
|
|
Pose Estimation (HP)
|
100% |
2166
2.53 IPS |
|
|
Pose Estimation (Q)
|
94% |
10175
11.9 IPS |
|
|
Object Detection (SP)
|
100% |
1437
114.0 IPS |
|
|
Object Detection (HP)
|
100% |
423
33.6 IPS |
|
|
Object Detection (Q)
|
86% |
3939
316.6 IPS |
|
|
Face Detection (SP)
|
100% |
4042
48.0 IPS |
|
|
Face Detection (HP)
|
100% |
940
11.2 IPS |
|
|
Face Detection (Q)
|
97% |
6409
76.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
4036
31.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
1286
9.91 IPS |
|
|
Depth Estimation (Q)
|
78% |
10638
84.9 IPS |
|
|
Style Transfer (SP)
|
100% |
8672
11.1 IPS |
|
|
Style Transfer (HP)
|
100% |
5364
6.90 IPS |
|
|
Style Transfer (Q)
|
98% |
15506
20.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1732
63.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1306
48.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3176
117.6 IPS |
|
|
Text Classification (SP)
|
100% |
915
1.22 KIPS |
|
|
Text Classification (HP)
|
100% |
525
700.1 IPS |
|
|
Text Classification (Q)
|
97% |
895
1.20 KIPS |
|
|
Machine Translation (SP)
|
100% |
1132
19.5 IPS |
|
|
Machine Translation (HP)
|
100% |
573
9.87 IPS |
|
|
Machine Translation (Q)
|
65% |
1707
34.3 IPS |
