HP HP EliteBook 640 14 inch G11 Notebook PC
Geekbench AI Score
1815
Single Precision Score
4279
Half Precision Score
1393
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| Upload Date | September 17 2024 01:12 PM |
| 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% |
646
120.2 IPS |
|
|
Image Classification (HP)
|
100% |
2902
539.7 IPS |
|
|
Image Classification (Q)
|
100% |
570
106.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
791
12.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
4535
73.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
710
11.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
7134
8.32 IPS |
|
|
Pose Estimation (HP)
|
100% |
10456
12.2 IPS |
|
|
Pose Estimation (Q)
|
97% |
6336
7.42 IPS |
|
|
Object Detection (SP)
|
100% |
617
48.9 IPS |
|
|
Object Detection (HP)
|
99% |
2804
223.1 IPS |
|
|
Object Detection (Q)
|
89% |
533
42.6 IPS |
|
|
Face Detection (SP)
|
100% |
913
10.8 IPS |
|
|
Face Detection (HP)
|
100% |
4706
55.9 IPS |
|
|
Face Detection (Q)
|
97% |
822
9.80 IPS |
|
|
Depth Estimation (SP)
|
100% |
3707
28.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
12940
100.0 IPS |
|
|
Depth Estimation (Q)
|
73% |
3052
25.0 IPS |
|
|
Style Transfer (SP)
|
100% |
20971
27.0 IPS |
|
|
Style Transfer (HP)
|
100% |
30115
38.7 IPS |
|
|
Style Transfer (Q)
|
98% |
17109
22.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3455
127.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4834
178.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2527
93.6 IPS |
|
|
Text Classification (SP)
|
86% |
719
972.4 IPS |
|
|
Text Classification (HP)
|
99% |
649
866.0 IPS |
|
|
Text Classification (Q)
|
83% |
424
576.8 IPS |
|
|
Machine Translation (SP)
|
100% |
983
16.9 IPS |
|
|
Machine Translation (HP)
|
100% |
929
16.0 IPS |
|
|
Machine Translation (Q)
|
60% |
438
9.78 IPS |
