HP HP EliteBook 640 14 inch G11 Notebook PC
Geekbench AI Score
2557
Single Precision Score
8518
Half Precision Score
12916
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | September 02 2025 09:57 PM |
| Views | 5 |
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% |
1332
247.7 IPS |
|
|
Image Classification (HP)
|
100% |
5938
1.10 KIPS |
|
|
Image Classification (Q)
|
100% |
8125
1.51 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1977
32.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2518
40.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3353
54.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
3491
4.07 IPS |
|
|
Pose Estimation (HP)
|
100% |
29825
34.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
64634
75.7 IPS |
|
|
Object Detection (SP)
|
100% |
1348
106.9 IPS |
|
|
Object Detection (HP)
|
100% |
5340
423.6 IPS |
|
|
Object Detection (Q)
|
87% |
8604
690.6 IPS |
|
|
Face Detection (SP)
|
100% |
3942
46.8 IPS |
|
|
Face Detection (HP)
|
100% |
14962
177.8 IPS |
|
|
Face Detection (Q)
|
100% |
27021
321.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
3856
29.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
16275
125.4 IPS |
|
|
Depth Estimation (Q)
|
88% |
29889
232.6 IPS |
|
|
Style Transfer (SP)
|
100% |
9196
11.8 IPS |
|
|
Style Transfer (HP)
|
100% |
44670
57.4 IPS |
|
|
Style Transfer (Q)
|
98% |
81667
105.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1878
69.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11897
439.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
20274
750.8 IPS |
|
|
Text Classification (SP)
|
100% |
1593
2.13 KIPS |
|
|
Text Classification (HP)
|
100% |
1769
2.36 KIPS |
|
|
Text Classification (Q)
|
92% |
1727
2.32 KIPS |
|
|
Machine Translation (SP)
|
100% |
2313
39.8 IPS |
|
|
Machine Translation (HP)
|
100% |
3690
63.6 IPS |
|
|
Machine Translation (Q)
|
100% |
3694
63.6 IPS |
