HP HP EliteBook 865 16 inch G10 Notebook PC
Geekbench AI Score
2121
Single Precision Score
2140
Half Precision Score
1447
Quantized Score
Geekbench AI 1.1.0 for Linux AVX2
Result Information
| User | LaurentBonnaud |
| Upload Date | September 07 2024 09:06 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% |
1433
266.6 IPS |
|
|
Image Classification (HP)
|
100% |
1506
280.1 IPS |
|
|
Image Classification (Q)
|
99% |
1074
200.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2104
34.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2123
34.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
1034
16.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
2506
2.92 IPS |
|
|
Pose Estimation (HP)
|
100% |
2495
2.91 IPS |
|
|
Pose Estimation (Q)
|
96% |
2847
3.34 IPS |
|
|
Object Detection (SP)
|
100% |
1604
127.2 IPS |
|
|
Object Detection (HP)
|
100% |
1602
127.1 IPS |
|
|
Object Detection (Q)
|
85% |
954
76.8 IPS |
|
|
Face Detection (SP)
|
100% |
2600
30.9 IPS |
|
|
Face Detection (HP)
|
100% |
2636
31.3 IPS |
|
|
Face Detection (Q)
|
97% |
2180
26.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
2576
19.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
2553
19.7 IPS |
|
|
Depth Estimation (Q)
|
63% |
1779
16.7 IPS |
|
|
Style Transfer (SP)
|
100% |
3152
4.05 IPS |
|
|
Style Transfer (HP)
|
100% |
3182
4.09 IPS |
|
|
Style Transfer (Q)
|
98% |
5198
6.70 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1581
58.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1581
58.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1435
53.2 IPS |
|
|
Text Classification (SP)
|
100% |
1759
2.35 KIPS |
|
|
Text Classification (HP)
|
100% |
1761
2.35 KIPS |
|
|
Text Classification (Q)
|
92% |
774
1.04 KIPS |
|
|
Machine Translation (SP)
|
100% |
2591
44.6 IPS |
|
|
Machine Translation (HP)
|
100% |
2652
45.7 IPS |
|
|
Machine Translation (Q)
|
58% |
598
14.0 IPS |
