HP HP EliteBook 840 14 inch G11 Notebook PC
Geekbench AI Score
2837
Single Precision Score
4941
Half Precision Score
2061
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | September 02 2025 06:57 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Enterprise (64-bit) |
| Model | HP HP EliteBook 840 14 inch G11 Notebook PC |
| Motherboard | HP 8C26 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 5 135U |
| Topology | 1 Processor, 12 Cores, 14 Threads |
| Identifier | GenuineIntel Family 6 Model 170 Stepping 4 |
| Base Frequency | 1.60 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1399
260.2 IPS |
|
|
Image Classification (HP)
|
100% |
3154
586.5 IPS |
|
|
Image Classification (Q)
|
100% |
1200
223.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1755
28.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
4642
75.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
1426
23.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
7025
8.20 IPS |
|
|
Pose Estimation (HP)
|
100% |
11480
13.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
6292
7.37 IPS |
|
|
Object Detection (SP)
|
100% |
1541
122.3 IPS |
|
|
Object Detection (HP)
|
99% |
3236
257.4 IPS |
|
|
Object Detection (Q)
|
86% |
1277
102.7 IPS |
|
|
Face Detection (SP)
|
100% |
2614
31.1 IPS |
|
|
Face Detection (HP)
|
100% |
5152
61.2 IPS |
|
|
Face Detection (Q)
|
97% |
2068
24.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5391
41.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
12924
99.9 IPS |
|
|
Depth Estimation (Q)
|
76% |
4240
34.0 IPS |
|
|
Style Transfer (SP)
|
100% |
22354
28.7 IPS |
|
|
Style Transfer (HP)
|
100% |
35435
45.6 IPS |
|
|
Style Transfer (Q)
|
98% |
16787
21.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3986
147.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6488
239.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2178
80.7 IPS |
|
|
Text Classification (SP)
|
86% |
648
877.0 IPS |
|
|
Text Classification (HP)
|
99% |
601
802.7 IPS |
|
|
Text Classification (Q)
|
84% |
458
621.3 IPS |
|
|
Machine Translation (SP)
|
100% |
1563
26.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1736
29.9 IPS |
|
|
Machine Translation (Q)
|
70% |
686
12.9 IPS |
