HP HP EliteBook 860 16 inch G11 Notebook PC
Geekbench AI Score
4439
Single Precision Score
6998
Half Precision Score
11134
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | cms1 |
| Upload Date | September 18 2025 07:51 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Graphics (iGPU) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Enterprise (64-bit) |
| Model | HP HP EliteBook 860 16 inch G11 Notebook PC |
| Motherboard | HP 8C26 |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 7 165U |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3136
583.1 IPS |
|
|
Image Classification (HP)
|
100% |
5342
993.5 IPS |
|
|
Image Classification (Q)
|
100% |
7366
1.37 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3598
58.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
7990
129.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
10711
173.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
8686
10.1 IPS |
|
|
Pose Estimation (HP)
|
99% |
7924
9.27 IPS |
|
|
Pose Estimation (Q)
|
97% |
30984
36.3 IPS |
|
|
Object Detection (SP)
|
100% |
3205
254.3 IPS |
|
|
Object Detection (HP)
|
100% |
4830
383.1 IPS |
|
|
Object Detection (Q)
|
88% |
7994
640.7 IPS |
|
|
Face Detection (SP)
|
100% |
6266
74.5 IPS |
|
|
Face Detection (HP)
|
100% |
9415
111.9 IPS |
|
|
Face Detection (Q)
|
100% |
15621
185.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
7812
60.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
14028
108.4 IPS |
|
|
Depth Estimation (Q)
|
89% |
21694
168.6 IPS |
|
|
Style Transfer (SP)
|
100% |
22341
28.7 IPS |
|
|
Style Transfer (HP)
|
100% |
33565
43.1 IPS |
|
|
Style Transfer (Q)
|
98% |
82084
105.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4458
164.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7613
281.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
13201
488.9 IPS |
|
|
Text Classification (SP)
|
71% |
1321
1.91 KIPS |
|
|
Text Classification (HP)
|
71% |
1841
2.66 KIPS |
|
|
Text Classification (Q)
|
92% |
1790
2.41 KIPS |
|
|
Machine Translation (SP)
|
100% |
1469
25.3 IPS |
|
|
Machine Translation (HP)
|
98% |
2778
48.0 IPS |
|
|
Machine Translation (Q)
|
98% |
2280
39.4 IPS |
