HP HP EliteBook 640 14 inch G11 Notebook PC
Geekbench AI Score
2901
Single Precision Score
4986
Half Precision Score
2111
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | ruiaf27 |
| Upload Date | February 09 2026 09:31 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Graphics |
| 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% |
1405
261.3 IPS |
|
|
Image Classification (HP)
|
100% |
2911
541.4 IPS |
|
|
Image Classification (Q)
|
100% |
1204
224.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1800
29.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
4891
79.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
1462
23.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
7381
8.61 IPS |
|
|
Pose Estimation (HP)
|
100% |
11633
13.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
6173
7.24 IPS |
|
|
Object Detection (SP)
|
100% |
1585
125.8 IPS |
|
|
Object Detection (HP)
|
99% |
3283
261.2 IPS |
|
|
Object Detection (Q)
|
86% |
1292
103.8 IPS |
|
|
Face Detection (SP)
|
100% |
2468
29.3 IPS |
|
|
Face Detection (HP)
|
100% |
4971
59.1 IPS |
|
|
Face Detection (Q)
|
97% |
2085
24.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5228
40.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
13309
102.9 IPS |
|
|
Depth Estimation (Q)
|
76% |
4300
34.5 IPS |
|
|
Style Transfer (SP)
|
100% |
23089
29.7 IPS |
|
|
Style Transfer (HP)
|
100% |
33675
43.3 IPS |
|
|
Style Transfer (Q)
|
98% |
17854
23.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4216
155.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6950
256.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2355
87.2 IPS |
|
|
Text Classification (SP)
|
86% |
702
949.9 IPS |
|
|
Text Classification (HP)
|
99% |
636
848.5 IPS |
|
|
Text Classification (Q)
|
84% |
484
657.1 IPS |
|
|
Machine Translation (SP)
|
100% |
1621
27.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1775
30.6 IPS |
|
|
Machine Translation (Q)
|
70% |
688
12.9 IPS |
