HP HP EliteBook 840 14 inch G9 Notebook PC
Geekbench AI Score
1409
Single Precision Score
1422
Half Precision Score
2986
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | August 28 2025 10:06 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | 12th Gen Intel(R) Core(TM) i5-1245U |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | HP HP EliteBook 840 14 inch G9 Notebook PC |
| Motherboard | HP 8ABB |
| Power Plan | HP Optimized (Modern Standby) |
| CPU Information | |
|---|---|
| Name | Intel Core i5-1245U |
| Topology | 1 Processor, 10 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 154 Stepping 4 |
| Base Frequency | 1.60 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
734
136.6 IPS |
|
|
Image Classification (HP)
|
100% |
751
139.8 IPS |
|
|
Image Classification (Q)
|
100% |
1626
302.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1165
18.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1220
19.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
2157
35.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
1647
1.92 IPS |
|
|
Pose Estimation (HP)
|
100% |
1655
1.93 IPS |
|
|
Pose Estimation (Q)
|
96% |
4869
5.70 IPS |
|
|
Object Detection (SP)
|
100% |
756
60.0 IPS |
|
|
Object Detection (HP)
|
100% |
777
61.7 IPS |
|
|
Object Detection (Q)
|
88% |
1773
142.1 IPS |
|
|
Face Detection (SP)
|
100% |
2264
26.9 IPS |
|
|
Face Detection (HP)
|
100% |
2328
27.7 IPS |
|
|
Face Detection (Q)
|
100% |
4881
58.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
2099
16.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
2089
16.1 IPS |
|
|
Depth Estimation (Q)
|
89% |
4897
38.1 IPS |
|
|
Style Transfer (SP)
|
100% |
4898
6.30 IPS |
|
|
Style Transfer (HP)
|
100% |
5066
6.51 IPS |
|
|
Style Transfer (Q)
|
98% |
15510
20.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
965
35.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1014
37.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2654
98.3 IPS |
|
|
Text Classification (SP)
|
100% |
1072
1.43 KIPS |
|
|
Text Classification (HP)
|
100% |
1109
1.48 KIPS |
|
|
Text Classification (Q)
|
92% |
1853
2.49 KIPS |
|
|
Machine Translation (SP)
|
100% |
1203
20.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1042
17.9 IPS |
|
|
Machine Translation (Q)
|
100% |
1021
17.6 IPS |
