Geekbench ML Score

938
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64

Result Information

Upload Date November 03 2021 11:17 AM
Views 1

System Information

System Information
Operating System iOS 15.1
Model iPhone 13 mini
Model IDiPhone14,4
Motherboard D16AP
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 3.61 GB
Inference Information
Framework TensorFlow Lite
Backend CPU
Device

Inference Performance

Workload Accuracy Score
Image Classification (F32)
100% 800
85.8 IPS
 
Image Classification (F16)
100% 772
82.7 IPS
 
Image Classification (I8)
81% 465
49.8 IPS
 
Image Segmentation (F32)
100% 1133
7.00 IPS
 
Image Segmentation (F16)
100% 1084
6.69 IPS
 
Image Segmentation (I8)
89% 1451
8.96 IPS
 
Pose Estimation (F32)
100% 416
1.68 IPS
 
Pose Estimation (F16)
100% 410
1.66 IPS
 
Pose Estimation (I8)
80% 482
1.95 IPS
 
Object Detection (F32)
100% 1071
37.6 IPS
 
Object Detection (F16)
100% 1078
37.8 IPS
 
Object Detection (I8)
52% 784
27.5 IPS
 
Face Detection (F32)
100% 1323
15.2 IPS
 
Face Detection (F16)
100% 1285
14.8 IPS
 
Face Detection (I8)
75% 854
9.81 IPS
 
Text Classification (F32)
100% 1192
471.5 IPS
 
Text Classification (F16)
100% 1159
458.3 IPS
 
Machine Translation (F32)
100% 1976
304.5 IPS
 
Machine Translation (F16)
100% 1974
304.2 IPS
 

Compare

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