HP HP EliteBook 865 16 inch G10 Notebook PC
Geekbench AI Score
5143
Single Precision Score
5171
Half Precision Score
14452
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 12 2025 09:45 PM |
| Views | 2 |
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% |
3311
615.7 IPS |
|
|
Image Classification (HP)
|
100% |
3344
621.8 IPS |
|
|
Image Classification (Q)
|
100% |
9473
1.76 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3669
59.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
3616
58.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
10094
163.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
6330
7.39 IPS |
|
|
Pose Estimation (HP)
|
100% |
6361
7.42 IPS |
|
|
Pose Estimation (Q)
|
98% |
25391
29.7 IPS |
|
|
Object Detection (SP)
|
100% |
2950
234.0 IPS |
|
|
Object Detection (HP)
|
100% |
2999
237.9 IPS |
|
|
Object Detection (Q)
|
88% |
9497
761.3 IPS |
|
|
Face Detection (SP)
|
100% |
6694
79.5 IPS |
|
|
Face Detection (HP)
|
100% |
6661
79.1 IPS |
|
|
Face Detection (Q)
|
100% |
23351
277.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8080
62.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
8205
63.2 IPS |
|
|
Depth Estimation (Q)
|
88% |
24076
187.4 IPS |
|
|
Style Transfer (SP)
|
100% |
17339
22.3 IPS |
|
|
Style Transfer (HP)
|
100% |
17571
22.6 IPS |
|
|
Style Transfer (Q)
|
98% |
66492
85.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3801
140.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3824
141.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
12869
476.6 IPS |
|
|
Text Classification (SP)
|
100% |
3206
4.28 KIPS |
|
|
Text Classification (HP)
|
100% |
3249
4.34 KIPS |
|
|
Text Classification (Q)
|
92% |
5138
6.90 KIPS |
|
|
Machine Translation (SP)
|
100% |
5003
86.2 IPS |
|
|
Machine Translation (HP)
|
100% |
4976
85.7 IPS |
|
|
Machine Translation (Q)
|
100% |
6978
120.2 IPS |
