HP HP EliteBook 840 14 inch G9 Notebook PC
Geekbench AI Score
2059
Single Precision Score
1935
Half Precision Score
4096
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | Chineezze |
| Upload Date | March 24 2025 11:30 AM |
| Views | 6 |
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 | Balanced |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1122
208.7 IPS |
|
|
Image Classification (HP)
|
100% |
1141
212.2 IPS |
|
|
Image Classification (Q)
|
100% |
2676
497.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1676
27.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1716
27.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3065
49.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
3030
3.54 IPS |
|
|
Pose Estimation (HP)
|
100% |
2110
2.46 IPS |
|
|
Pose Estimation (Q)
|
96% |
5863
6.87 IPS |
|
|
Object Detection (SP)
|
100% |
1198
95.0 IPS |
|
|
Object Detection (HP)
|
100% |
1124
89.2 IPS |
|
|
Object Detection (Q)
|
88% |
2690
215.7 IPS |
|
|
Face Detection (SP)
|
100% |
2982
35.4 IPS |
|
|
Face Detection (HP)
|
100% |
3002
35.7 IPS |
|
|
Face Detection (Q)
|
100% |
6680
79.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
3066
23.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
3057
23.5 IPS |
|
|
Depth Estimation (Q)
|
89% |
7260
56.5 IPS |
|
|
Style Transfer (SP)
|
100% |
6588
8.47 IPS |
|
|
Style Transfer (HP)
|
100% |
6294
8.09 IPS |
|
|
Style Transfer (Q)
|
98% |
19632
25.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1456
53.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1464
54.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3557
131.7 IPS |
|
|
Text Classification (SP)
|
100% |
1357
1.81 KIPS |
|
|
Text Classification (HP)
|
100% |
1355
1.81 KIPS |
|
|
Text Classification (Q)
|
92% |
1889
2.54 KIPS |
|
|
Machine Translation (SP)
|
100% |
1690
29.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1386
23.9 IPS |
|
|
Machine Translation (Q)
|
100% |
1608
27.7 IPS |
