HP HP EliteBook 865 16 inch G10 Notebook PC
Geekbench AI Score
7137
Single Precision Score
10377
Half Precision Score
5463
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | December 13 2025 08:48 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon(TM) 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% |
2986
555.3 IPS |
|
|
Image Classification (HP)
|
100% |
4287
797.3 IPS |
|
|
Image Classification (Q)
|
100% |
2479
461.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
3979
64.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
4463
72.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
3236
52.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
32701
38.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
57416
67.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
26777
31.4 IPS |
|
|
Object Detection (SP)
|
100% |
2471
196.0 IPS |
|
|
Object Detection (HP)
|
100% |
3459
274.4 IPS |
|
|
Object Detection (Q)
|
87% |
2283
183.4 IPS |
|
|
Face Detection (SP)
|
100% |
5943
70.6 IPS |
|
|
Face Detection (HP)
|
100% |
10246
121.7 IPS |
|
|
Face Detection (Q)
|
97% |
4961
59.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
15542
119.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
22801
175.7 IPS |
|
|
Depth Estimation (Q)
|
77% |
12613
101.2 IPS |
|
|
Style Transfer (SP)
|
100% |
55666
71.6 IPS |
|
|
Style Transfer (HP)
|
100% |
92219
118.5 IPS |
|
|
Style Transfer (Q)
|
98% |
42307
54.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10647
393.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
19439
717.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7396
273.9 IPS |
|
|
Text Classification (SP)
|
100% |
2185
2.92 KIPS |
|
|
Text Classification (HP)
|
100% |
2967
3.96 KIPS |
|
|
Text Classification (Q)
|
97% |
1617
2.17 KIPS |
|
|
Machine Translation (SP)
|
100% |
2986
51.4 IPS |
|
|
Machine Translation (HP)
|
100% |
3068
52.9 IPS |
|
|
Machine Translation (Q)
|
70% |
1525
28.6 IPS |
