Geekbench ML Score

611
TensorFlow Lite GPU Inference Score
Geekbench ML 0.6.0 for Android AArch64

Result Information

Upload Date April 13 2024 09:00 AM
Views 1

System Information

System Information
Operating System Android 14
Model OnePlus 9R
Model IDOnePlus LE2101
Motherboard kona
Governorschedutil
CPU Information
Name ARM Qualcomm
Topology 1 Processor, 8 Cores
Identifier ARM implementer 65 architecture 8 variant 1 part 3341 revision 0
Base Frequency 1.80 GHz
Cluster 14 Cores @ 1.80 GHz
Cluster 23 Cores @ 2.42 GHz
Cluster 31 Core @ 3.19 GHz
Memory Information
Size 7.35 GB
Inference Information
Framework TensorFlow Lite
Backend GPU
Device Default

Inference Performance

Workload Accuracy Score
Image Classification (F32)
100% 291
54.5 IPS
 
Image Classification (F16)
100% 433
81.1 IPS
 
Image Classification (I8)
97% 442
82.7 IPS
 
Image Segmentation (F32)
100% 362
6.04 IPS
 
Image Segmentation (F16)
100% 677
11.3 IPS
 
Image Segmentation (I8)
98% 673
11.2 IPS
 
Pose Estimation (F32)
100% 540
0.65 IPS
 
Pose Estimation (F16)
100% 1085
1.31 IPS
 
Pose Estimation (I8)
100% 1084
1.31 IPS
 
Object Detection (F32)
100% 205
15.3 IPS
 
Object Detection (F16)
100% 370
27.6 IPS
 
Object Detection (I8)
62% 231
17.2 IPS
 
Face Detection (F32)
100% 707
8.41 IPS
 
Face Detection (F16)
97% 1478
17.6 IPS
 
Face Detection (I8)
87% 1351
16.1 IPS
 
Depth Estimation (F32)
100% 594
4.61 IPS
 
Depth Estimation (F16)
100% 1071
8.30 IPS
 
Depth Estimation (I8)
95% 1057
8.20 IPS
 
Style Transfer (F32)
100% 1250
1.64 IPS
 
Style Transfer (F16)
100% 3206
4.22 IPS
 
Style Transfer (I8)
98% 3227
4.25 IPS
 
Image Super-Resolution (F32)
100% 331
11.8 IPS
 
Image Super-Resolution (F16)
100% 763
27.2 IPS
 
Image Super-Resolution (I8)
98% 745
26.6 IPS
 
Text Classification (F32)
100% 232
333.8 IPS
 
Text Classification (F16)
100% 234
336.1 IPS
 
Text Classification (I8)
92% 405
581.4 IPS
 
Machine Translation (F32)
100% 389
7.16 IPS
 
Machine Translation (F16)
100% 391
7.20 IPS
 
Machine Translation (I8)
64% 495
9.10 IPS
 

Compare

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