HP HP EliteBook 640 14 inch G11 Notebook PC
Geekbench AI Score
1813
Single Precision Score
4329
Half Precision Score
1417
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| Upload Date | September 17 2024 01:27 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% |
627
116.5 IPS |
|
|
Image Classification (HP)
|
100% |
2883
536.2 IPS |
|
|
Image Classification (Q)
|
100% |
575
106.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
785
12.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
4607
74.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
707
11.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
7116
8.30 IPS |
|
|
Pose Estimation (HP)
|
100% |
10916
12.7 IPS |
|
|
Pose Estimation (Q)
|
97% |
6355
7.44 IPS |
|
|
Object Detection (SP)
|
100% |
621
49.3 IPS |
|
|
Object Detection (HP)
|
99% |
2816
224.0 IPS |
|
|
Object Detection (Q)
|
89% |
534
42.7 IPS |
|
|
Face Detection (SP)
|
100% |
925
11.0 IPS |
|
|
Face Detection (HP)
|
100% |
4631
55.0 IPS |
|
|
Face Detection (Q)
|
97% |
813
9.70 IPS |
|
|
Depth Estimation (SP)
|
100% |
3672
28.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
12400
95.8 IPS |
|
|
Depth Estimation (Q)
|
73% |
3035
24.8 IPS |
|
|
Style Transfer (SP)
|
100% |
21203
27.3 IPS |
|
|
Style Transfer (HP)
|
100% |
31920
41.0 IPS |
|
|
Style Transfer (Q)
|
98% |
17172
22.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3497
129.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5075
187.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2595
96.1 IPS |
|
|
Text Classification (SP)
|
86% |
704
952.1 IPS |
|
|
Text Classification (HP)
|
99% |
642
857.2 IPS |
|
|
Text Classification (Q)
|
83% |
488
664.8 IPS |
|
|
Machine Translation (SP)
|
100% |
999
17.2 IPS |
|
|
Machine Translation (HP)
|
100% |
948
16.3 IPS |
|
|
Machine Translation (Q)
|
60% |
441
9.84 IPS |
