HP HP EliteBook 860 16 inch G11 Notebook PC
Geekbench AI Score
1934
Single Precision Score
833
Half Precision Score
3575
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | dehnhaide |
| Upload Date | September 17 2025 02:46 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core 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% |
1978
367.8 IPS |
|
|
Image Classification (HP)
|
100% |
372
69.1 IPS |
|
|
Image Classification (Q)
|
99% |
2137
398.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1029
16.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
663
10.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
5816
94.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
3588
4.19 IPS |
|
|
Pose Estimation (HP)
|
100% |
3002
3.50 IPS |
|
|
Pose Estimation (Q)
|
94% |
13531
15.9 IPS |
|
|
Object Detection (SP)
|
100% |
1559
123.7 IPS |
|
|
Object Detection (HP)
|
100% |
465
36.9 IPS |
|
|
Object Detection (Q)
|
86% |
2408
193.6 IPS |
|
|
Face Detection (SP)
|
100% |
4342
51.6 IPS |
|
|
Face Detection (HP)
|
100% |
553
6.57 IPS |
|
|
Face Detection (Q)
|
97% |
4836
57.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
2907
22.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
748
5.77 IPS |
|
|
Depth Estimation (Q)
|
78% |
4702
37.5 IPS |
|
|
Style Transfer (SP)
|
100% |
5494
7.06 IPS |
|
|
Style Transfer (HP)
|
100% |
5006
6.44 IPS |
|
|
Style Transfer (Q)
|
98% |
11207
14.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1140
42.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1019
37.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3011
111.5 IPS |
|
|
Text Classification (SP)
|
100% |
994
1.33 KIPS |
|
|
Text Classification (HP)
|
100% |
440
587.6 IPS |
|
|
Text Classification (Q)
|
97% |
877
1.18 KIPS |
|
|
Machine Translation (SP)
|
100% |
819
14.1 IPS |
|
|
Machine Translation (HP)
|
100% |
504
8.69 IPS |
|
|
Machine Translation (Q)
|
65% |
1252
25.2 IPS |
