HP HP EliteBook 860 16 inch G11 Notebook PC
Geekbench AI Score
2389
Single Precision Score
2376
Half Precision Score
5938
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | August 28 2025 10:05 PM |
| Views | 4 |
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% |
1346
250.3 IPS |
|
|
Image Classification (Q)
|
100% |
4395
817.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1951
31.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2071
33.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
4227
68.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
3290
3.84 IPS |
|
|
Pose Estimation (HP)
|
100% |
3096
3.61 IPS |
|
|
Pose Estimation (Q)
|
96% |
10846
12.7 IPS |
|
|
Object Detection (SP)
|
100% |
1089
86.4 IPS |
|
|
Object Detection (HP)
|
100% |
1154
91.5 IPS |
|
|
Object Detection (Q)
|
88% |
3277
262.7 IPS |
|
|
Face Detection (SP)
|
100% |
3750
44.6 IPS |
|
|
Face Detection (HP)
|
100% |
3902
46.4 IPS |
|
|
Face Detection (Q)
|
100% |
8292
98.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
3703
28.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
3645
28.1 IPS |
|
|
Depth Estimation (Q)
|
89% |
9439
73.4 IPS |
|
|
Style Transfer (SP)
|
100% |
8788
11.3 IPS |
|
|
Style Transfer (HP)
|
100% |
8778
11.3 IPS |
|
|
Style Transfer (Q)
|
98% |
29626
38.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1665
61.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1672
61.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6032
223.4 IPS |
|
|
Text Classification (SP)
|
100% |
1489
1.99 KIPS |
|
|
Text Classification (HP)
|
100% |
1496
2.00 KIPS |
|
|
Text Classification (Q)
|
92% |
3063
4.11 KIPS |
|
|
Machine Translation (SP)
|
100% |
2131
36.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1850
31.9 IPS |
|
|
Machine Translation (Q)
|
100% |
1929
33.2 IPS |
