Geekbench ML Score

711
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64

Result Information

Upload Date May 14 2022 02:19 PM
Views 1

System Information

System Information
Operating System iOS 15.4.1
Model iPhone 13
Model IDiPhone14,5
Motherboard D17AP
CPU Information
Name Apple A15 Bionic
Topology 1 Processor, 6 Cores
Identifier ARM
Base Frequency 3.23 GHz
L1 Instruction Cache128 KB x 1
L1 Data Cache64.0 KB x 1
L2 Cache4.00 MB x 1
Memory Information
Size 3.56 GB
Inference Information
Framework TensorFlow Lite
Backend CPU

Inference Performance

Workload Accuracy Score
Image Classification (F32)
100% 463
49.6 IPS
 
Image Classification (F16)
100% 479
51.3 IPS
 
Image Classification (I8)
81% 814
87.2 IPS
 
Image Segmentation (F32)
100% 602
3.72 IPS
 
Image Segmentation (F16)
100% 599
3.70 IPS
 
Image Segmentation (I8)
89% 1444
8.92 IPS
 
Pose Estimation (F32)
100% 243
0.98 IPS
 
Pose Estimation (F16)
100% 313
1.27 IPS
 
Pose Estimation (I8)
80% 394
1.59 IPS
 
Object Detection (F32)
100% 752
26.4 IPS
 
Object Detection (F16)
100% 741
26.0 IPS
 
Object Detection (I8)
52% 1153
40.5 IPS
 
Face Detection (F32)
100% 833
9.57 IPS
 
Face Detection (F16)
100% 870
10.00 IPS
 
Face Detection (I8)
75% 1155
13.3 IPS
 
Text Classification (F32)
100% 1099
434.8 IPS
 
Text Classification (F16)
100% 1108
438.3 IPS
 
Machine Translation (F32)
100% 917
141.3 IPS
 
Machine Translation (F16)
100% 928
143.0 IPS
 

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