HP HP EliteBook 840 14 inch G9 Notebook PC
Geekbench AI Score
1389
Single Precision Score
1394
Half Precision Score
3014
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | August 28 2025 09:59 PM |
| Views | 7 |
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% |
707
131.4 IPS |
|
|
Image Classification (HP)
|
100% |
725
134.9 IPS |
|
|
Image Classification (Q)
|
100% |
1885
350.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1135
18.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1079
17.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
2209
35.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
1623
1.89 IPS |
|
|
Pose Estimation (HP)
|
100% |
1663
1.94 IPS |
|
|
Pose Estimation (Q)
|
96% |
4799
5.62 IPS |
|
|
Object Detection (SP)
|
100% |
749
59.4 IPS |
|
|
Object Detection (HP)
|
100% |
757
60.0 IPS |
|
|
Object Detection (Q)
|
88% |
1706
136.8 IPS |
|
|
Face Detection (SP)
|
100% |
2296
27.3 IPS |
|
|
Face Detection (HP)
|
100% |
2296
27.3 IPS |
|
|
Face Detection (Q)
|
100% |
4671
55.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
2061
15.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
2053
15.8 IPS |
|
|
Depth Estimation (Q)
|
89% |
4712
36.7 IPS |
|
|
Style Transfer (SP)
|
100% |
4789
6.16 IPS |
|
|
Style Transfer (HP)
|
100% |
4832
6.21 IPS |
|
|
Style Transfer (Q)
|
98% |
14761
19.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
980
36.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1000
36.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2639
97.7 IPS |
|
|
Text Classification (SP)
|
100% |
1040
1.39 KIPS |
|
|
Text Classification (HP)
|
100% |
1058
1.41 KIPS |
|
|
Text Classification (Q)
|
92% |
1807
2.43 KIPS |
|
|
Machine Translation (SP)
|
100% |
1193
20.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1171
20.2 IPS |
|
|
Machine Translation (Q)
|
100% |
1175
20.2 IPS |
