HP HP EliteBook 640 14 inch G11 Notebook PC
Geekbench AI Score
1953
Single Precision Score
8658
Half Precision Score
13250
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | ruiaf27 |
| Upload Date | February 09 2026 10:11 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Entreprise (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 Core Ultra 7 155U |
| Topology | 1 Processor, 12 Cores, 14 Threads |
| Identifier | GenuineIntel Family 6 Model 170 Stepping 4 |
| Base Frequency | 1.70 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1173
218.2 IPS |
|
|
Image Classification (HP)
|
100% |
5913
1.10 KIPS |
|
|
Image Classification (Q)
|
100% |
8271
1.54 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1615
26.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2440
39.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
2991
48.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
2397
2.80 IPS |
|
|
Pose Estimation (HP)
|
100% |
28954
33.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
64913
76.0 IPS |
|
|
Object Detection (SP)
|
100% |
969
76.9 IPS |
|
|
Object Detection (HP)
|
100% |
5164
409.6 IPS |
|
|
Object Detection (Q)
|
88% |
8398
673.2 IPS |
|
|
Face Detection (SP)
|
100% |
2994
35.6 IPS |
|
|
Face Detection (HP)
|
100% |
15344
182.3 IPS |
|
|
Face Detection (Q)
|
100% |
27531
327.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
2533
19.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
16155
124.5 IPS |
|
|
Depth Estimation (Q)
|
88% |
29662
230.8 IPS |
|
|
Style Transfer (SP)
|
100% |
7565
9.72 IPS |
|
|
Style Transfer (HP)
|
100% |
47915
61.6 IPS |
|
|
Style Transfer (Q)
|
98% |
85721
110.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1364
50.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13711
506.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
26349
975.8 IPS |
|
|
Text Classification (SP)
|
100% |
1342
1.79 KIPS |
|
|
Text Classification (HP)
|
100% |
1722
2.30 KIPS |
|
|
Text Classification (Q)
|
92% |
1733
2.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
1750
30.1 IPS |
|
|
Machine Translation (HP)
|
100% |
3915
67.4 IPS |
|
|
Machine Translation (Q)
|
100% |
3871
66.7 IPS |
