HP HP EliteBook 865 16 inch G10 Notebook PC
Geekbench AI Score
5120
Single Precision Score
5151
Half Precision Score
14389
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 12 2025 10:08 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 7 7840U w/ Radeon 780M Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | HP HP EliteBook 865 16 inch G10 Notebook PC |
| Motherboard | HP 8B6E |
| Power Plan | HP Optimized (Modern Standby) |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 7840U |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 116 Stepping 1 |
| Base Frequency | 3.30 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3271
608.4 IPS |
|
|
Image Classification (HP)
|
100% |
3336
620.3 IPS |
|
|
Image Classification (Q)
|
100% |
9274
1.72 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3745
60.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
3570
57.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
9918
160.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
6285
7.33 IPS |
|
|
Pose Estimation (HP)
|
100% |
6366
7.43 IPS |
|
|
Pose Estimation (Q)
|
98% |
25245
29.6 IPS |
|
|
Object Detection (SP)
|
100% |
2954
234.3 IPS |
|
|
Object Detection (HP)
|
100% |
2966
235.2 IPS |
|
|
Object Detection (Q)
|
88% |
9610
770.4 IPS |
|
|
Face Detection (SP)
|
100% |
6741
80.1 IPS |
|
|
Face Detection (HP)
|
100% |
6761
80.3 IPS |
|
|
Face Detection (Q)
|
100% |
23396
278.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
7968
61.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
8222
63.3 IPS |
|
|
Depth Estimation (Q)
|
88% |
24150
187.9 IPS |
|
|
Style Transfer (SP)
|
100% |
16927
21.8 IPS |
|
|
Style Transfer (HP)
|
100% |
17235
22.2 IPS |
|
|
Style Transfer (Q)
|
98% |
66250
85.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3794
140.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3822
141.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
12838
475.4 IPS |
|
|
Text Classification (SP)
|
100% |
3174
4.24 KIPS |
|
|
Text Classification (HP)
|
100% |
3254
4.34 KIPS |
|
|
Text Classification (Q)
|
92% |
5129
6.89 KIPS |
|
|
Machine Translation (SP)
|
100% |
4972
85.6 IPS |
|
|
Machine Translation (HP)
|
100% |
4910
84.6 IPS |
|
|
Machine Translation (Q)
|
100% |
6919
119.2 IPS |
