Geekbench ML Score

913
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64

Result Information

Upload Date October 03 2023 05:47 AM
Views 2

System Information

System Information
Operating System iOS 16.1
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
Device

Inference Performance

Workload Accuracy Score
Image Classification (F32)
100% 787
84.3 IPS
 
Image Classification (F16)
100% 738
79.0 IPS
 
Image Classification (I8)
81% 462
49.5 IPS
 
Image Segmentation (F32)
100% 1094
6.76 IPS
 
Image Segmentation (F16)
100% 1075
6.64 IPS
 
Image Segmentation (I8)
89% 1441
8.90 IPS
 
Pose Estimation (F32)
100% 409
1.65 IPS
 
Pose Estimation (F16)
100% 398
1.61 IPS
 
Pose Estimation (I8)
80% 477
1.93 IPS
 
Object Detection (F32)
100% 1009
35.4 IPS
 
Object Detection (F16)
100% 1024
35.9 IPS
 
Object Detection (I8)
52% 799
28.1 IPS
 
Face Detection (F32)
100% 1273
14.6 IPS
 
Face Detection (F16)
100% 1244
14.3 IPS
 
Face Detection (I8)
75% 847
9.74 IPS
 
Text Classification (F32)
100% 990
391.4 IPS
 
Text Classification (F16)
100% 1097
433.9 IPS
 
Machine Translation (F32)
100% 2057
317.0 IPS
 
Machine Translation (F16)
100% 2047
315.5 IPS
 

Compare

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