HP HP EliteBook 840 G5
Geekbench AI Score
909
Single Precision Score
452
Half Precision Score
1464
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | willus |
| Upload Date | November 27 2025 12:57 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-8350U |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | HP HP EliteBook 840 G5 |
| Motherboard | HP 83B2 |
| CPU Information | |
|---|---|
| Name | Intel Core i5-8350U |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 142 Stepping 10 |
| Base Frequency | 1.90 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
564
105.0 IPS |
|
|
Image Classification (HP)
|
100% |
183
33.9 IPS |
|
|
Image Classification (Q)
|
96% |
945
176.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
441
7.15 IPS |
|
|
Image Segmentation (HP)
|
100% |
310
5.02 IPS |
|
|
Image Segmentation (Q)
|
97% |
1401
22.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
1249
1.46 IPS |
|
|
Pose Estimation (HP)
|
100% |
1007
1.18 IPS |
|
|
Pose Estimation (Q)
|
86% |
2587
3.06 IPS |
|
|
Object Detection (SP)
|
100% |
620
49.1 IPS |
|
|
Object Detection (HP)
|
100% |
228
18.1 IPS |
|
|
Object Detection (Q)
|
58% |
883
96.5 IPS |
|
|
Face Detection (SP)
|
100% |
1597
19.0 IPS |
|
|
Face Detection (HP)
|
100% |
509
6.05 IPS |
|
|
Face Detection (Q)
|
96% |
2460
29.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
1602
12.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
623
4.80 IPS |
|
|
Depth Estimation (Q)
|
78% |
2920
23.3 IPS |
|
|
Style Transfer (SP)
|
100% |
3280
4.22 IPS |
|
|
Style Transfer (HP)
|
100% |
2340
3.01 IPS |
|
|
Style Transfer (Q)
|
87% |
4267
5.55 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
572
21.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
450
16.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
955
35.4 IPS |
|
|
Text Classification (SP)
|
100% |
482
643.9 IPS |
|
|
Text Classification (HP)
|
100% |
233
311.1 IPS |
|
|
Text Classification (Q)
|
97% |
481
644.9 IPS |
|
|
Machine Translation (SP)
|
100% |
870
15.0 IPS |
|
|
Machine Translation (HP)
|
100% |
354
6.10 IPS |
|
|
Machine Translation (Q)
|
68% |
1067
20.6 IPS |
