Geekbench ML Score

709
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64

Result Information

Upload Date November 05 2022 02:20 AM
Views 2

System Information

System Information
Operating System iOS 16.1
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% 545
58.4 IPS
 
Image Classification (F16)
100% 537
57.5 IPS
 
Image Classification (I8)
81% 334
35.7 IPS
 
Image Segmentation (F32)
100% 873
5.39 IPS
 
Image Segmentation (F16)
100% 852
5.26 IPS
 
Image Segmentation (I8)
89% 1096
6.77 IPS
 
Pose Estimation (F32)
100% 275
1.11 IPS
 
Pose Estimation (F16)
100% 268
1.09 IPS
 
Pose Estimation (I8)
80% 333
1.35 IPS
 
Object Detection (F32)
100% 773
27.1 IPS
 
Object Detection (F16)
100% 770
27.0 IPS
 
Object Detection (I8)
52% 610
21.4 IPS
 
Face Detection (F32)
100% 990
11.4 IPS
 
Face Detection (F16)
100% 890
10.2 IPS
 
Face Detection (I8)
75% 714
8.20 IPS
 
Text Classification (F32)
100% 1661
656.8 IPS
 
Text Classification (F16)
100% 1441
570.1 IPS
 
Machine Translation (F32)
100% 1172
180.6 IPS
 
Machine Translation (F16)
100% 1183
182.3 IPS
 

Compare

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