HP HP EliteBook 860 16 inch G11 Notebook PC
Geekbench AI Score
2357
Single Precision Score
2362
Half Precision Score
5836
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | August 28 2025 09:58 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 7 165U |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | HP HP EliteBook 860 16 inch G11 Notebook PC |
| Motherboard | HP 8C26 |
| Power Plan | HP Optimized (Modern Standby) |
| 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% |
1346
250.2 IPS |
|
|
Image Classification (HP)
|
100% |
1324
246.3 IPS |
|
|
Image Classification (Q)
|
100% |
4222
785.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1906
30.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1904
30.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
4220
68.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
3526
4.11 IPS |
|
|
Pose Estimation (HP)
|
100% |
2950
3.44 IPS |
|
|
Pose Estimation (Q)
|
96% |
9912
11.6 IPS |
|
|
Object Detection (SP)
|
100% |
1044
82.8 IPS |
|
|
Object Detection (HP)
|
100% |
1127
89.4 IPS |
|
|
Object Detection (Q)
|
88% |
3291
263.8 IPS |
|
|
Face Detection (SP)
|
100% |
3607
42.9 IPS |
|
|
Face Detection (HP)
|
100% |
3675
43.7 IPS |
|
|
Face Detection (Q)
|
100% |
8000
95.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
3448
26.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
3522
27.1 IPS |
|
|
Depth Estimation (Q)
|
89% |
9455
73.5 IPS |
|
|
Style Transfer (SP)
|
100% |
8756
11.3 IPS |
|
|
Style Transfer (HP)
|
100% |
8869
11.4 IPS |
|
|
Style Transfer (Q)
|
98% |
31979
41.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1627
60.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1677
61.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5534
204.9 IPS |
|
|
Text Classification (SP)
|
100% |
1448
1.93 KIPS |
|
|
Text Classification (HP)
|
100% |
1559
2.08 KIPS |
|
|
Text Classification (Q)
|
92% |
3022
4.06 KIPS |
|
|
Machine Translation (SP)
|
100% |
2190
37.7 IPS |
|
|
Machine Translation (HP)
|
100% |
2153
37.1 IPS |
|
|
Machine Translation (Q)
|
100% |
1951
33.6 IPS |
