HP HP EliteBook 865 16 inch G10 Notebook PC
Geekbench AI Score
4575
Single Precision Score
4637
Half Precision Score
12879
Quantized Score
Geekbench AI 1.1.0 for Linux AVX2
Result Information
| User | LaurentBonnaud |
| Upload Date | September 07 2024 11:59 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 7 PRO 7840U w/ Radeon 780M Graphics |
| System Information | |
|---|---|
| Operating System | Ubuntu 24.04.1 LTS |
| Model | HP HP EliteBook 865 16 inch G10 Notebook PC |
| Motherboard | HP 8B6E |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 PRO 7840U |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 116 Stepping 1 |
| Base Frequency | 5.13 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 30.63 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2478
460.9 IPS |
|
|
Image Classification (HP)
|
100% |
2834
527.1 IPS |
|
|
Image Classification (Q)
|
100% |
8646
1.61 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3005
48.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2733
44.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
7076
115.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
5824
6.80 IPS |
|
|
Pose Estimation (HP)
|
100% |
5689
6.64 IPS |
|
|
Pose Estimation (Q)
|
98% |
24259
28.4 IPS |
|
|
Object Detection (SP)
|
100% |
2730
216.5 IPS |
|
|
Object Detection (HP)
|
100% |
2770
219.7 IPS |
|
|
Object Detection (Q)
|
88% |
8517
682.8 IPS |
|
|
Face Detection (SP)
|
100% |
6548
77.8 IPS |
|
|
Face Detection (HP)
|
100% |
6599
78.4 IPS |
|
|
Face Detection (Q)
|
100% |
20780
246.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
7754
59.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
7989
61.6 IPS |
|
|
Depth Estimation (Q)
|
88% |
23246
180.9 IPS |
|
|
Style Transfer (SP)
|
100% |
16357
21.0 IPS |
|
|
Style Transfer (HP)
|
100% |
16210
20.8 IPS |
|
|
Style Transfer (Q)
|
98% |
63885
82.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3581
132.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3601
133.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
12274
454.5 IPS |
|
|
Text Classification (SP)
|
100% |
2967
3.96 KIPS |
|
|
Text Classification (HP)
|
100% |
3030
4.04 KIPS |
|
|
Text Classification (Q)
|
92% |
4996
6.71 KIPS |
|
|
Machine Translation (SP)
|
100% |
3853
66.4 IPS |
|
|
Machine Translation (HP)
|
100% |
4046
69.7 IPS |
|
|
Machine Translation (Q)
|
100% |
5250
90.4 IPS |
