HP HP EliteBook 865 16 inch G10 Notebook PC
Geekbench AI Score
14186
Single Precision Score
20079
Half Precision Score
10050
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | Jimmyfalukorv |
| Upload Date | October 28 2025 02:44 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3070 |
| 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% |
5467
1.02 KIPS |
|
|
Image Classification (HP)
|
99% |
7045
1.31 KIPS |
|
|
Image Classification (Q)
|
100% |
4254
791.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
7094
115.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
8491
137.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
6173
100.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
105144
122.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
242977
283.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
85329
100.0 IPS |
|
|
Object Detection (SP)
|
100% |
6496
515.3 IPS |
|
|
Object Detection (HP)
|
100% |
8635
684.9 IPS |
|
|
Object Detection (Q)
|
85% |
5279
425.0 IPS |
|
|
Face Detection (SP)
|
100% |
13998
166.3 IPS |
|
|
Face Detection (HP)
|
100% |
18250
216.9 IPS |
|
|
Face Detection (Q)
|
97% |
11753
140.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
41157
317.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
69444
535.0 IPS |
|
|
Depth Estimation (Q)
|
77% |
26831
214.9 IPS |
|
|
Style Transfer (SP)
|
100% |
167559
215.4 IPS |
|
|
Style Transfer (HP)
|
100% |
340430
437.6 IPS |
|
|
Style Transfer (Q)
|
98% |
132092
170.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
27169
1.00 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
33554
1.24 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
16701
618.4 IPS |
|
|
Text Classification (SP)
|
100% |
2430
3.24 KIPS |
|
|
Text Classification (HP)
|
99% |
2920
3.90 KIPS |
|
|
Text Classification (Q)
|
97% |
1250
1.67 KIPS |
|
|
Machine Translation (SP)
|
100% |
1956
33.7 IPS |
|
|
Machine Translation (HP)
|
100% |
2008
34.6 IPS |
|
|
Machine Translation (Q)
|
70% |
1022
19.2 IPS |
