HP HP EliteBook 865 16 inch G10 Notebook PC
Geekbench AI Score
5341
Single Precision Score
5453
Half Precision Score
15551
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | Jimmyfalukorv |
| Upload Date | October 28 2025 01:12 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 7 PRO 7840HS w/ Radeon 780M Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | HP HP EliteBook 865 16 inch G10 Notebook PC |
| Motherboard | HP 8B6E |
| Power Plan | ChrisTitus - Ultimate Power Plan |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 PRO 7840HS |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 116 Stepping 1 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2947
548.0 IPS |
|
|
Image Classification (HP)
|
100% |
3498
650.6 IPS |
|
|
Image Classification (Q)
|
100% |
10337
1.92 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4250
68.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
4174
67.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
11089
179.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
6838
7.98 IPS |
|
|
Pose Estimation (HP)
|
100% |
6588
7.69 IPS |
|
|
Pose Estimation (Q)
|
98% |
27322
32.0 IPS |
|
|
Object Detection (SP)
|
100% |
2931
232.5 IPS |
|
|
Object Detection (HP)
|
100% |
2976
236.1 IPS |
|
|
Object Detection (Q)
|
88% |
10528
844.0 IPS |
|
|
Face Detection (SP)
|
100% |
7418
88.1 IPS |
|
|
Face Detection (HP)
|
100% |
7341
87.2 IPS |
|
|
Face Detection (Q)
|
100% |
25501
303.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8398
64.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
8583
66.1 IPS |
|
|
Depth Estimation (Q)
|
88% |
25961
202.0 IPS |
|
|
Style Transfer (SP)
|
100% |
18909
24.3 IPS |
|
|
Style Transfer (HP)
|
100% |
19050
24.5 IPS |
|
|
Style Transfer (Q)
|
98% |
70670
91.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3760
138.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3876
143.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
14524
537.9 IPS |
|
|
Text Classification (SP)
|
100% |
3651
4.87 KIPS |
|
|
Text Classification (HP)
|
100% |
3663
4.89 KIPS |
|
|
Text Classification (Q)
|
92% |
5514
7.41 KIPS |
|
|
Machine Translation (SP)
|
100% |
4660
80.3 IPS |
|
|
Machine Translation (HP)
|
100% |
4766
82.1 IPS |
|
|
Machine Translation (Q)
|
100% |
6698
115.4 IPS |
