HP HP EliteBook 840 14 inch G11 Notebook PC
Geekbench AI Score
2845
Single Precision Score
4920
Half Precision Score
2064
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | September 02 2025 06:51 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% |
1390
258.5 IPS |
|
|
Image Classification (HP)
|
100% |
3094
575.5 IPS |
|
|
Image Classification (Q)
|
100% |
1203
223.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1744
28.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
4623
74.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
1424
23.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
7245
8.45 IPS |
|
|
Pose Estimation (HP)
|
100% |
11475
13.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
6306
7.39 IPS |
|
|
Object Detection (SP)
|
100% |
1546
122.6 IPS |
|
|
Object Detection (HP)
|
99% |
3256
259.0 IPS |
|
|
Object Detection (Q)
|
86% |
1278
102.7 IPS |
|
|
Face Detection (SP)
|
100% |
2658
31.6 IPS |
|
|
Face Detection (HP)
|
100% |
5236
62.2 IPS |
|
|
Face Detection (Q)
|
97% |
2064
24.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5404
41.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
13009
100.6 IPS |
|
|
Depth Estimation (Q)
|
76% |
4204
33.8 IPS |
|
|
Style Transfer (SP)
|
100% |
22316
28.7 IPS |
|
|
Style Transfer (HP)
|
100% |
34036
43.8 IPS |
|
|
Style Transfer (Q)
|
98% |
16799
21.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3916
144.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6446
238.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2210
81.8 IPS |
|
|
Text Classification (SP)
|
86% |
660
892.7 IPS |
|
|
Text Classification (HP)
|
99% |
600
800.6 IPS |
|
|
Text Classification (Q)
|
84% |
458
622.3 IPS |
|
|
Machine Translation (SP)
|
100% |
1549
26.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1735
29.9 IPS |
|
|
Machine Translation (Q)
|
70% |
691
13.0 IPS |
