HP HP EliteBook 640 14 inch G11 Notebook PC
Geekbench AI Score
2538
Single Precision Score
8484
Half Precision Score
13013
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | August 26 2025 12:55 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | HP HP EliteBook 640 14 inch G11 Notebook PC |
| Motherboard | HP 8C86 |
| Power Plan | HP Optimized (Modern Standby) |
| 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% |
1318
245.0 IPS |
|
|
Image Classification (HP)
|
100% |
6042
1.12 KIPS |
|
|
Image Classification (Q)
|
100% |
8404
1.56 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1769
28.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2501
40.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3404
55.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
3440
4.01 IPS |
|
|
Pose Estimation (HP)
|
100% |
29897
34.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
64087
75.1 IPS |
|
|
Object Detection (SP)
|
100% |
1298
103.0 IPS |
|
|
Object Detection (HP)
|
100% |
5327
422.5 IPS |
|
|
Object Detection (Q)
|
87% |
8692
697.6 IPS |
|
|
Face Detection (SP)
|
100% |
3930
46.7 IPS |
|
|
Face Detection (HP)
|
100% |
14295
169.9 IPS |
|
|
Face Detection (Q)
|
100% |
26579
315.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
4058
31.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
15919
122.6 IPS |
|
|
Depth Estimation (Q)
|
88% |
29996
233.4 IPS |
|
|
Style Transfer (SP)
|
100% |
10054
12.9 IPS |
|
|
Style Transfer (HP)
|
100% |
44129
56.7 IPS |
|
|
Style Transfer (Q)
|
98% |
80641
104.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1824
67.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12409
458.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
20629
764.0 IPS |
|
|
Text Classification (SP)
|
100% |
1575
2.10 KIPS |
|
|
Text Classification (HP)
|
100% |
1764
2.36 KIPS |
|
|
Text Classification (Q)
|
92% |
1776
2.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
2314
39.9 IPS |
|
|
Machine Translation (HP)
|
100% |
3653
62.9 IPS |
|
|
Machine Translation (Q)
|
100% |
3712
63.9 IPS |
