HP HP EliteBook 640 14 inch G11 Notebook PC
Geekbench AI Score
1726
Single Precision Score
7821
Half Precision Score
12474
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 07 2025 03:09 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Enterprise (64-bit) |
| Model | HP HP EliteBook 640 14 inch G11 Notebook PC |
| Motherboard | HP 8C86 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 7 165U |
| 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% |
1087
202.2 IPS |
|
|
Image Classification (HP)
|
100% |
5916
1.10 KIPS |
|
|
Image Classification (Q)
|
100% |
8678
1.61 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1460
23.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2231
36.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
2844
46.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
2280
2.66 IPS |
|
|
Pose Estimation (HP)
|
100% |
29832
34.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
62621
73.4 IPS |
|
|
Object Detection (SP)
|
100% |
869
68.9 IPS |
|
|
Object Detection (HP)
|
100% |
4684
371.6 IPS |
|
|
Object Detection (Q)
|
88% |
8485
680.2 IPS |
|
|
Face Detection (SP)
|
100% |
2448
29.1 IPS |
|
|
Face Detection (HP)
|
100% |
12657
150.4 IPS |
|
|
Face Detection (Q)
|
100% |
26066
309.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
2679
20.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
12492
96.2 IPS |
|
|
Depth Estimation (Q)
|
88% |
23829
185.4 IPS |
|
|
Style Transfer (SP)
|
100% |
6503
8.36 IPS |
|
|
Style Transfer (HP)
|
100% |
37066
47.6 IPS |
|
|
Style Transfer (Q)
|
98% |
70514
90.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1172
43.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13926
514.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
26315
974.6 IPS |
|
|
Text Classification (SP)
|
100% |
991
1.32 KIPS |
|
|
Text Classification (HP)
|
100% |
1638
2.19 KIPS |
|
|
Text Classification (Q)
|
92% |
1679
2.25 KIPS |
|
|
Machine Translation (SP)
|
100% |
1507
26.0 IPS |
|
|
Machine Translation (HP)
|
100% |
3477
59.9 IPS |
|
|
Machine Translation (Q)
|
100% |
3597
62.0 IPS |
