HP HP EliteBook 650 15.6 inch G9 Notebook PC
Geekbench AI Score
1369
Single Precision Score
1246
Half Precision Score
2596
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | Atirox |
| Upload Date | February 18 2025 06:41 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | 12th Gen Intel(R) Core(TM) i5-1235U |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Enterprise (64-bit) |
| Model | HP HP EliteBook 650 15.6 inch G9 Notebook PC |
| Motherboard | HP 8AA9 |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Core i5-1235U |
| Topology | 1 Processor, 10 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 154 Stepping 4 |
| Base Frequency | 1.30 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
942
175.3 IPS |
|
|
Image Classification (HP)
|
100% |
468
87.0 IPS |
|
|
Image Classification (Q)
|
100% |
1055
196.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1096
17.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1195
19.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
1510
24.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
1711
2.00 IPS |
|
|
Pose Estimation (HP)
|
100% |
1791
2.09 IPS |
|
|
Pose Estimation (Q)
|
96% |
4558
5.34 IPS |
|
|
Object Detection (SP)
|
100% |
943
74.8 IPS |
|
|
Object Detection (HP)
|
100% |
1073
85.1 IPS |
|
|
Object Detection (Q)
|
88% |
2418
193.8 IPS |
|
|
Face Detection (SP)
|
100% |
2730
32.4 IPS |
|
|
Face Detection (HP)
|
100% |
1915
22.7 IPS |
|
|
Face Detection (Q)
|
100% |
4447
52.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
2012
15.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
2016
15.5 IPS |
|
|
Depth Estimation (Q)
|
89% |
4788
37.2 IPS |
|
|
Style Transfer (SP)
|
100% |
5172
6.65 IPS |
|
|
Style Transfer (HP)
|
100% |
5546
7.13 IPS |
|
|
Style Transfer (Q)
|
98% |
19881
25.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1203
44.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
812
30.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1725
63.9 IPS |
|
|
Text Classification (SP)
|
100% |
505
674.0 IPS |
|
|
Text Classification (HP)
|
100% |
617
823.7 IPS |
|
|
Text Classification (Q)
|
92% |
1021
1.37 KIPS |
|
|
Machine Translation (SP)
|
100% |
810
14.0 IPS |
|
|
Machine Translation (HP)
|
100% |
788
13.6 IPS |
|
|
Machine Translation (Q)
|
100% |
1065
18.3 IPS |
