HP HP EliteBook 640 14 inch G11 Notebook PC
Geekbench AI Score
2612
Single Precision Score
4644
Half Precision Score
1838
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 07 2025 03:05 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Graphics |
| 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% |
1380
256.5 IPS |
|
|
Image Classification (HP)
|
100% |
3024
562.4 IPS |
|
|
Image Classification (Q)
|
100% |
1213
225.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1514
24.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
3858
62.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
1190
19.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
6538
7.63 IPS |
|
|
Pose Estimation (HP)
|
100% |
10663
12.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
5604
6.57 IPS |
|
|
Object Detection (SP)
|
100% |
1506
119.4 IPS |
|
|
Object Detection (HP)
|
99% |
3264
259.6 IPS |
|
|
Object Detection (Q)
|
86% |
1159
93.2 IPS |
|
|
Face Detection (SP)
|
100% |
1986
23.6 IPS |
|
|
Face Detection (HP)
|
100% |
4311
51.2 IPS |
|
|
Face Detection (Q)
|
97% |
1663
19.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5103
39.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
11888
91.9 IPS |
|
|
Depth Estimation (Q)
|
76% |
4046
32.5 IPS |
|
|
Style Transfer (SP)
|
100% |
22040
28.3 IPS |
|
|
Style Transfer (HP)
|
100% |
35883
46.1 IPS |
|
|
Style Transfer (Q)
|
98% |
15256
19.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3780
139.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6900
254.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2198
81.4 IPS |
|
|
Text Classification (SP)
|
86% |
661
893.4 IPS |
|
|
Text Classification (HP)
|
99% |
563
751.8 IPS |
|
|
Text Classification (Q)
|
84% |
332
450.8 IPS |
|
|
Machine Translation (SP)
|
100% |
1291
22.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1609
27.7 IPS |
|
|
Machine Translation (Q)
|
70% |
628
11.8 IPS |
