HP HP EliteBook 860 16 inch G11 Notebook PC
Geekbench AI Score
2171
Single Precision Score
2154
Half Precision Score
4663
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | dehnhaide |
| Upload Date | September 17 2025 02:50 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 7 155H |
| 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% |
941
174.9 IPS |
|
|
Image Classification (HP)
|
100% |
1003
186.5 IPS |
|
|
Image Classification (Q)
|
100% |
2746
510.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2089
33.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2097
34.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3577
58.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
3584
4.18 IPS |
|
|
Pose Estimation (HP)
|
100% |
3625
4.23 IPS |
|
|
Pose Estimation (Q)
|
96% |
11703
13.7 IPS |
|
|
Object Detection (SP)
|
100% |
972
77.1 IPS |
|
|
Object Detection (HP)
|
100% |
1006
79.8 IPS |
|
|
Object Detection (Q)
|
88% |
2060
165.1 IPS |
|
|
Face Detection (SP)
|
100% |
3428
40.7 IPS |
|
|
Face Detection (HP)
|
100% |
3412
40.5 IPS |
|
|
Face Detection (Q)
|
100% |
6095
72.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
3450
26.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
3259
25.1 IPS |
|
|
Depth Estimation (Q)
|
89% |
8090
62.9 IPS |
|
|
Style Transfer (SP)
|
100% |
9644
12.4 IPS |
|
|
Style Transfer (HP)
|
100% |
9563
12.3 IPS |
|
|
Style Transfer (Q)
|
98% |
25589
33.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1582
58.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1502
55.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4814
178.3 IPS |
|
|
Text Classification (SP)
|
100% |
1338
1.79 KIPS |
|
|
Text Classification (HP)
|
100% |
1321
1.76 KIPS |
|
|
Text Classification (Q)
|
92% |
2215
2.98 KIPS |
|
|
Machine Translation (SP)
|
100% |
1412
24.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1333
23.0 IPS |
|
|
Machine Translation (Q)
|
100% |
1527
26.3 IPS |
