HP EliteOne 840 G9 All-in-One HP HP EliteOne 840 23.8 inch G9 All-in-One Desktop PC
Geekbench AI Score
3528
Single Precision Score
1405
Half Precision Score
6643
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | miesupport |
| Upload Date | August 22 2025 12:51 AM |
| Views | 6 |
| Notes | HP EliteOne 840 23.8 inch G9 All-in-One Desktop PC |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-14500 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | HP HP EliteOne 840 23.8 inch G9 All-in-One Desktop PC |
| Motherboard | HP 8ACC |
| CPU Information | |
|---|---|
| Name | Intel Core i5-14500 |
| Topology | 1 Processor, 14 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 191 Stepping 2 |
| Base Frequency | 2.60 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2855
530.9 IPS |
|
|
Image Classification (HP)
|
100% |
520
96.7 IPS |
|
|
Image Classification (Q)
|
99% |
5455
1.02 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1688
27.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
917
14.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
8086
131.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
6166
7.19 IPS |
|
|
Pose Estimation (HP)
|
100% |
3891
4.54 IPS |
|
|
Pose Estimation (Q)
|
94% |
19609
23.0 IPS |
|
|
Object Detection (SP)
|
100% |
2091
165.8 IPS |
|
|
Object Detection (HP)
|
100% |
576
45.7 IPS |
|
|
Object Detection (Q)
|
86% |
5593
449.5 IPS |
|
|
Face Detection (SP)
|
100% |
5836
69.3 IPS |
|
|
Face Detection (HP)
|
100% |
1418
16.9 IPS |
|
|
Face Detection (Q)
|
97% |
8125
96.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
7839
60.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
1941
15.0 IPS |
|
|
Depth Estimation (Q)
|
78% |
13299
106.1 IPS |
|
|
Style Transfer (SP)
|
100% |
14028
18.0 IPS |
|
|
Style Transfer (HP)
|
100% |
9238
11.9 IPS |
|
|
Style Transfer (Q)
|
98% |
16604
21.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2453
90.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1801
66.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5040
186.6 IPS |
|
|
Text Classification (SP)
|
100% |
1558
2.08 KIPS |
|
|
Text Classification (HP)
|
100% |
754
1.01 KIPS |
|
|
Text Classification (Q)
|
97% |
1378
1.85 KIPS |
|
|
Machine Translation (SP)
|
100% |
1964
33.8 IPS |
|
|
Machine Translation (HP)
|
100% |
818
14.1 IPS |
|
|
Machine Translation (Q)
|
65% |
2778
55.8 IPS |
