HP HP EliteBook 860 16 inch G11 Notebook PC
Geekbench AI Score
1247
Single Precision Score
568
Half Precision Score
2862
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | cms1 |
| Upload Date | September 18 2025 04:50 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 7 165U |
| 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% |
806
149.9 IPS |
|
|
Image Classification (HP)
|
100% |
224
41.7 IPS |
|
|
Image Classification (Q)
|
99% |
1828
341.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
442
7.16 IPS |
|
|
Image Segmentation (HP)
|
100% |
338
5.48 IPS |
|
|
Image Segmentation (Q)
|
98% |
2762
44.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
1401
1.63 IPS |
|
|
Pose Estimation (HP)
|
100% |
1067
1.24 IPS |
|
|
Pose Estimation (Q)
|
94% |
5869
6.88 IPS |
|
|
Object Detection (SP)
|
100% |
826
65.5 IPS |
|
|
Object Detection (HP)
|
100% |
311
24.6 IPS |
|
|
Object Detection (Q)
|
86% |
2232
179.4 IPS |
|
|
Face Detection (SP)
|
100% |
2695
32.0 IPS |
|
|
Face Detection (HP)
|
100% |
617
7.33 IPS |
|
|
Face Detection (Q)
|
97% |
3968
47.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
2915
22.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
807
6.22 IPS |
|
|
Depth Estimation (Q)
|
78% |
5214
41.6 IPS |
|
|
Style Transfer (SP)
|
100% |
4656
5.99 IPS |
|
|
Style Transfer (HP)
|
100% |
3136
4.03 IPS |
|
|
Style Transfer (Q)
|
98% |
10027
12.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
892
33.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
721
26.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1926
71.3 IPS |
|
|
Text Classification (SP)
|
100% |
809
1.08 KIPS |
|
|
Text Classification (HP)
|
100% |
341
454.6 IPS |
|
|
Text Classification (Q)
|
97% |
926
1.24 KIPS |
|
|
Machine Translation (SP)
|
100% |
842
14.5 IPS |
|
|
Machine Translation (HP)
|
100% |
368
6.34 IPS |
|
|
Machine Translation (Q)
|
65% |
1507
30.3 IPS |
