HP HP EliteBook 840 14 inch G10 Notebook PC
Geekbench AI Score
2345
Single Precision Score
901
Half Precision Score
4758
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | August 28 2025 08:42 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-1365U |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | HP HP EliteBook 840 14 inch G10 Notebook PC |
| Motherboard | HP 8B41 |
| Power Plan | HP Optimized (Modern Standby) |
| CPU Information | |
|---|---|
| Name | Intel Core i7-1365U |
| Topology | 1 Processor, 10 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 186 Stepping 3 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1991
370.3 IPS |
|
|
Image Classification (HP)
|
100% |
397
73.9 IPS |
|
|
Image Classification (Q)
|
99% |
3962
738.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1018
16.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
714
11.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
5365
87.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
3506
4.09 IPS |
|
|
Pose Estimation (HP)
|
100% |
2150
2.51 IPS |
|
|
Pose Estimation (Q)
|
94% |
10613
12.4 IPS |
|
|
Object Detection (SP)
|
100% |
1830
145.2 IPS |
|
|
Object Detection (HP)
|
100% |
436
34.6 IPS |
|
|
Object Detection (Q)
|
86% |
3691
296.7 IPS |
|
|
Face Detection (SP)
|
100% |
4590
54.5 IPS |
|
|
Face Detection (HP)
|
100% |
1065
12.7 IPS |
|
|
Face Detection (Q)
|
97% |
6363
75.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
4700
36.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
1158
8.92 IPS |
|
|
Depth Estimation (Q)
|
78% |
9157
73.1 IPS |
|
|
Style Transfer (SP)
|
100% |
7345
9.44 IPS |
|
|
Style Transfer (HP)
|
100% |
4409
5.67 IPS |
|
|
Style Transfer (Q)
|
98% |
14157
18.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1685
62.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
981
36.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2983
110.4 IPS |
|
|
Text Classification (SP)
|
100% |
1190
1.59 KIPS |
|
|
Text Classification (HP)
|
100% |
541
722.7 IPS |
|
|
Text Classification (Q)
|
97% |
1404
1.88 KIPS |
|
|
Machine Translation (SP)
|
100% |
1218
21.0 IPS |
|
|
Machine Translation (HP)
|
100% |
463
7.97 IPS |
|
|
Machine Translation (Q)
|
65% |
2071
41.6 IPS |
