HP HP EliteBook 840 14 inch G9 Notebook PC
Geekbench AI Score
1404
Single Precision Score
1365
Half Precision Score
2933
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | August 28 2025 09:49 PM |
| Views | 3 |
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% |
752
139.8 IPS |
|
|
Image Classification (HP)
|
100% |
719
133.7 IPS |
|
|
Image Classification (Q)
|
100% |
1838
341.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1237
20.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1209
19.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
2130
34.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
1631
1.90 IPS |
|
|
Pose Estimation (HP)
|
100% |
1644
1.92 IPS |
|
|
Pose Estimation (Q)
|
96% |
4546
5.32 IPS |
|
|
Object Detection (SP)
|
100% |
759
60.2 IPS |
|
|
Object Detection (HP)
|
100% |
737
58.4 IPS |
|
|
Object Detection (Q)
|
88% |
1764
141.4 IPS |
|
|
Face Detection (SP)
|
100% |
2195
26.1 IPS |
|
|
Face Detection (HP)
|
100% |
2330
27.7 IPS |
|
|
Face Detection (Q)
|
100% |
4728
56.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
1826
14.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
2037
15.7 IPS |
|
|
Depth Estimation (Q)
|
89% |
4634
36.0 IPS |
|
|
Style Transfer (SP)
|
100% |
4866
6.26 IPS |
|
|
Style Transfer (HP)
|
100% |
4818
6.19 IPS |
|
|
Style Transfer (Q)
|
98% |
14756
19.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
995
36.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
975
36.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2635
97.6 IPS |
|
|
Text Classification (SP)
|
100% |
1114
1.49 KIPS |
|
|
Text Classification (HP)
|
100% |
1020
1.36 KIPS |
|
|
Text Classification (Q)
|
92% |
1729
2.32 KIPS |
|
|
Machine Translation (SP)
|
100% |
1196
20.6 IPS |
|
|
Machine Translation (HP)
|
100% |
939
16.2 IPS |
|
|
Machine Translation (Q)
|
100% |
1019
17.6 IPS |
