HP HP EliteBook 640 14 inch G11 Notebook PC
Geekbench AI Score
1876
Single Precision Score
878
Half Precision Score
1467
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| Upload Date | September 17 2024 11:02 AM |
| Views | 1 |
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(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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
650
121.0 IPS |
|
|
Image Classification (HP)
|
0% |
0
534.8 IPS |
|
|
Image Classification (Q)
|
100% |
596
110.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
845
13.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
4668
75.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
752
12.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
7422
8.66 IPS |
|
|
Pose Estimation (HP)
|
100% |
12085
14.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
6595
7.73 IPS |
|
|
Object Detection (SP)
|
100% |
660
52.3 IPS |
|
|
Object Detection (HP)
|
0% |
0
217.8 IPS |
|
|
Object Detection (Q)
|
89% |
586
46.9 IPS |
|
|
Face Detection (SP)
|
100% |
976
11.6 IPS |
|
|
Face Detection (HP)
|
100% |
4602
54.7 IPS |
|
|
Face Detection (Q)
|
97% |
876
10.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
3750
28.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
12642
97.7 IPS |
|
|
Depth Estimation (Q)
|
73% |
3046
24.9 IPS |
|
|
Style Transfer (SP)
|
100% |
20651
26.5 IPS |
|
|
Style Transfer (HP)
|
100% |
31686
40.7 IPS |
|
|
Style Transfer (Q)
|
98% |
17054
22.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3737
138.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5397
199.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2702
100.0 IPS |
|
|
Text Classification (SP)
|
86% |
708
957.8 IPS |
|
|
Text Classification (HP)
|
99% |
519
692.4 IPS |
|
|
Text Classification (Q)
|
83% |
488
663.9 IPS |
|
|
Machine Translation (SP)
|
100% |
1008
17.4 IPS |
|
|
Machine Translation (HP)
|
100% |
942
16.2 IPS |
|
|
Machine Translation (Q)
|
60% |
447
9.96 IPS |
