HP HP EliteBook 865 16 inch G10 Notebook PC
Geekbench AI Score
76
Single Precision Score
76
Half Precision Score
56
Quantized Score
Geekbench AI 1.1.0 for Linux x86 (64-bit)
Result Information
| User | LaurentBonnaud |
| Upload Date | September 07 2024 10:25 AM |
| Views | 14 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | AMD Ryzen 7 PRO 7840U |
| 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% |
46
8.59 IPS |
|
|
Image Classification (HP)
|
100% |
44
8.13 IPS |
|
|
Image Classification (Q)
|
97% |
34
6.31 IPS |
|
|
Image Segmentation (SP)
|
100% |
60
0.97 IPS |
|
|
Image Segmentation (HP)
|
100% |
61
0.99 IPS |
|
|
Image Segmentation (Q)
|
98% |
46
0.75 IPS |
|
|
Pose Estimation (SP)
|
100% |
69
0.08 IPS |
|
|
Pose Estimation (HP)
|
100% |
69
0.08 IPS |
|
|
Pose Estimation (Q)
|
96% |
58
0.07 IPS |
|
|
Object Detection (SP)
|
100% |
42
3.34 IPS |
|
|
Object Detection (HP)
|
100% |
42
3.33 IPS |
|
|
Object Detection (Q)
|
87% |
33
2.67 IPS |
|
|
Face Detection (SP)
|
100% |
141
1.67 IPS |
|
|
Face Detection (HP)
|
100% |
143
1.70 IPS |
|
|
Face Detection (Q)
|
97% |
108
1.29 IPS |
|
|
Depth Estimation (SP)
|
100% |
100
0.77 IPS |
|
|
Depth Estimation (HP)
|
99% |
100
0.77 IPS |
|
|
Depth Estimation (Q)
|
64% |
69
0.63 IPS |
|
|
Style Transfer (SP)
|
100% |
209
0.27 IPS |
|
|
Style Transfer (HP)
|
100% |
209
0.27 IPS |
|
|
Style Transfer (Q)
|
98% |
175
0.23 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
45
1.65 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
45
1.66 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
37
1.35 IPS |
|
|
Text Classification (SP)
|
100% |
59
79.0 IPS |
|
|
Text Classification (HP)
|
100% |
59
78.8 IPS |
|
|
Text Classification (Q)
|
91% |
42
56.0 IPS |
|
|
Machine Translation (SP)
|
100% |
105
1.81 IPS |
|
|
Machine Translation (HP)
|
100% |
105
1.82 IPS |
|
|
Machine Translation (Q)
|
58% |
52
1.24 IPS |
