HP HP EliteBook 640 14 inch G11 Notebook PC
Geekbench AI Score
2065
Single Precision Score
927
Half Precision Score
4473
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | ruiaf27 |
| Upload Date | February 09 2026 09:28 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core Ultra 7 155U |
| 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% |
1771
329.3 IPS |
|
|
Image Classification (HP)
|
100% |
427
79.4 IPS |
|
|
Image Classification (Q)
|
99% |
3735
696.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
886
14.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
656
10.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
4955
80.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
3090
3.61 IPS |
|
|
Pose Estimation (HP)
|
100% |
1988
2.32 IPS |
|
|
Pose Estimation (Q)
|
94% |
11683
13.7 IPS |
|
|
Object Detection (SP)
|
100% |
1560
123.8 IPS |
|
|
Object Detection (HP)
|
100% |
454
36.0 IPS |
|
|
Object Detection (Q)
|
86% |
3403
273.5 IPS |
|
|
Face Detection (SP)
|
100% |
4378
52.0 IPS |
|
|
Face Detection (HP)
|
100% |
1050
12.5 IPS |
|
|
Face Detection (Q)
|
97% |
5618
67.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
4039
31.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
1226
9.45 IPS |
|
|
Depth Estimation (Q)
|
78% |
8669
69.2 IPS |
|
|
Style Transfer (SP)
|
100% |
6813
8.76 IPS |
|
|
Style Transfer (HP)
|
100% |
5005
6.43 IPS |
|
|
Style Transfer (Q)
|
98% |
13981
18.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1430
52.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1043
38.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3212
118.9 IPS |
|
|
Text Classification (SP)
|
100% |
969
1.29 KIPS |
|
|
Text Classification (HP)
|
100% |
543
725.1 IPS |
|
|
Text Classification (Q)
|
97% |
1113
1.49 KIPS |
|
|
Machine Translation (SP)
|
100% |
1120
19.3 IPS |
|
|
Machine Translation (HP)
|
100% |
512
8.81 IPS |
|
|
Machine Translation (Q)
|
65% |
1793
36.0 IPS |
