HP HP EliteBook 860 16 inch G11 Notebook PC
Geekbench AI Score
1967
Single Precision Score
7819
Half Precision Score
11968
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | dehnhaide |
| Upload Date | September 17 2025 03:07 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Business (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 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% |
1212
225.4 IPS |
|
|
Image Classification (HP)
|
100% |
4701
874.2 IPS |
|
|
Image Classification (Q)
|
100% |
6253
1.16 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1984
32.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2454
39.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3038
49.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
3946
4.60 IPS |
|
|
Pose Estimation (HP)
|
100% |
30056
35.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
64300
75.3 IPS |
|
|
Object Detection (SP)
|
100% |
519
41.2 IPS |
|
|
Object Detection (HP)
|
100% |
4538
360.0 IPS |
|
|
Object Detection (Q)
|
88% |
8165
654.6 IPS |
|
|
Face Detection (SP)
|
100% |
1717
20.4 IPS |
|
|
Face Detection (HP)
|
100% |
13352
158.7 IPS |
|
|
Face Detection (Q)
|
100% |
22689
269.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
3673
28.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
16036
123.5 IPS |
|
|
Depth Estimation (Q)
|
88% |
30505
237.4 IPS |
|
|
Style Transfer (SP)
|
100% |
10579
13.6 IPS |
|
|
Style Transfer (HP)
|
100% |
45089
58.0 IPS |
|
|
Style Transfer (Q)
|
98% |
85956
110.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1687
62.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12434
459.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
21169
784.0 IPS |
|
|
Text Classification (SP)
|
100% |
1041
1.39 KIPS |
|
|
Text Classification (HP)
|
100% |
1626
2.17 KIPS |
|
|
Text Classification (Q)
|
92% |
1592
2.14 KIPS |
|
|
Machine Translation (SP)
|
100% |
1508
26.0 IPS |
|
|
Machine Translation (HP)
|
100% |
2782
47.9 IPS |
|
|
Machine Translation (Q)
|
100% |
3015
51.9 IPS |
