HP HP EliteBook 865 16 inch G9 Notebook PC
Geekbench AI Score
4074
Single Precision Score
4071
Half Precision Score
6735
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | August 12 2025 11:03 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 7 PRO 6850HS with Radeon Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | HP HP EliteBook 865 16 inch G9 Notebook PC |
| Motherboard | HP 8990 |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 PRO 6850HS |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 68 Stepping 1 |
| Base Frequency | 3.20 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2826
525.6 IPS |
|
|
Image Classification (HP)
|
100% |
2821
524.5 IPS |
|
|
Image Classification (Q)
|
100% |
4784
889.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1362
22.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1366
22.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
4923
80.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
5691
6.64 IPS |
|
|
Pose Estimation (HP)
|
100% |
5603
6.54 IPS |
|
|
Pose Estimation (Q)
|
94% |
11661
13.7 IPS |
|
|
Object Detection (SP)
|
100% |
2529
200.6 IPS |
|
|
Object Detection (HP)
|
100% |
2578
204.5 IPS |
|
|
Object Detection (Q)
|
87% |
4744
380.5 IPS |
|
|
Face Detection (SP)
|
100% |
5596
66.5 IPS |
|
|
Face Detection (HP)
|
100% |
5639
67.0 IPS |
|
|
Face Detection (Q)
|
97% |
13119
156.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
7124
54.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
7186
55.4 IPS |
|
|
Depth Estimation (Q)
|
81% |
11347
89.5 IPS |
|
|
Style Transfer (SP)
|
100% |
15815
20.3 IPS |
|
|
Style Transfer (HP)
|
100% |
15801
20.3 IPS |
|
|
Style Transfer (Q)
|
98% |
33473
43.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3185
117.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3223
119.0 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
6928
256.6 IPS |
|
|
Text Classification (SP)
|
100% |
2943
3.93 KIPS |
|
|
Text Classification (HP)
|
100% |
2899
3.87 KIPS |
|
|
Text Classification (Q)
|
91% |
1151
1.55 KIPS |
|
|
Machine Translation (SP)
|
100% |
3851
66.3 IPS |
|
|
Machine Translation (HP)
|
100% |
3760
64.8 IPS |
|
|
Machine Translation (Q)
|
100% |
3710
63.9 IPS |
