Geekbench ML Score

701
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.1 for iOS AArch64

Result Information

Upload Date June 13 2021 01:29 AM
Views 1

System Information

System Information
Operating System iOS 14.6
Model iPhone SE (2nd generation)
Model IDiPhone12,8
Motherboard D79AP
CPU Information
Name Apple A13 Bionic
Topology 1 Processor, 6 Cores
Identifier ARM
Base Frequency 2.66 GHz
L1 Instruction Cache96.0 KB x 1
L1 Data Cache48.0 KB x 1
L2 Cache4.00 MB x 1
Memory Information
Size 2.89 GB
Inference Information
Framework TensorFlow Lite
Backend CPU
Device

Inference Performance

Workload Accuracy Score
Image Classification (F32)
100% 552
59.1 IPS
 
Image Classification (F16)
100% 542
58.1 IPS
 
Image Classification (I8)
81% 337
36.1 IPS
 
Image Segmentation (F32)
100% 871
5.38 IPS
 
Image Segmentation (F16)
100% 845
5.22 IPS
 
Image Segmentation (I8)
89% 1124
6.95 IPS
 
Pose Estimation (F32)
100% 274
1.11 IPS
 
Pose Estimation (F16)
100% 270
1.09 IPS
 
Pose Estimation (I8)
80% 173
0.70 IPS
 
Object Detection (F32)
100% 771
27.1 IPS
 
Object Detection (F16)
100% 783
27.5 IPS
 
Object Detection (I8)
52% 608
21.3 IPS
 
Face Detection (F32)
100% 856
9.84 IPS
 
Face Detection (F16)
100% 868
9.97 IPS
 
Face Detection (I8)
75% 707
8.12 IPS
 
Text Classification (F32)
100% 2026
801.4 IPS
 
Text Classification (F16)
100% 2020
798.8 IPS
 
Machine Translation (F32)
100% 1190
183.4 IPS
 
Machine Translation (F16)
100% 1200
184.9 IPS
 

Compare

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