HP HP EliteBook 865 16 inch G10 Notebook PC
Geekbench AI Score
2130
Single Precision Score
2130
Half Precision Score
1433
Quantized Score
Geekbench AI 1.1.0 for Linux AVX2
Result Information
| User | LaurentBonnaud |
| Upload Date | September 07 2024 09:14 AM |
| Views | 9 |
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% |
1490
277.1 IPS |
|
|
Image Classification (HP)
|
100% |
1506
280.2 IPS |
|
|
Image Classification (Q)
|
99% |
1075
200.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2103
34.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2127
34.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
1044
17.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
2532
2.95 IPS |
|
|
Pose Estimation (HP)
|
100% |
2510
2.93 IPS |
|
|
Pose Estimation (Q)
|
96% |
2784
3.26 IPS |
|
|
Object Detection (SP)
|
100% |
1611
127.8 IPS |
|
|
Object Detection (HP)
|
100% |
1590
126.1 IPS |
|
|
Object Detection (Q)
|
85% |
958
77.1 IPS |
|
|
Face Detection (SP)
|
100% |
2559
30.4 IPS |
|
|
Face Detection (HP)
|
100% |
2641
31.4 IPS |
|
|
Face Detection (Q)
|
97% |
2119
25.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
2582
19.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
2600
20.0 IPS |
|
|
Depth Estimation (Q)
|
63% |
1650
15.5 IPS |
|
|
Style Transfer (SP)
|
100% |
3188
4.10 IPS |
|
|
Style Transfer (HP)
|
100% |
3160
4.06 IPS |
|
|
Style Transfer (Q)
|
98% |
5217
6.73 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1580
58.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1529
56.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1446
53.6 IPS |
|
|
Text Classification (SP)
|
100% |
1748
2.33 KIPS |
|
|
Text Classification (HP)
|
100% |
1755
2.34 KIPS |
|
|
Text Classification (Q)
|
92% |
777
1.04 KIPS |
|
|
Machine Translation (SP)
|
100% |
2593
44.7 IPS |
|
|
Machine Translation (HP)
|
100% |
2584
44.5 IPS |
|
|
Machine Translation (Q)
|
58% |
599
14.1 IPS |
