Geekbench ML Score

928
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64

Result Information

Upload Date October 03 2023 04:28 AM
Views 2

System Information

System Information
Operating System iOS 17.0.2
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 3.57 GB
Inference Information
Framework TensorFlow Lite
Backend CPU
Device

Inference Performance

Workload Accuracy Score
Image Classification (F32)
100% 785
84.1 IPS
 
Image Classification (F16)
100% 758
81.2 IPS
 
Image Classification (I8)
81% 465
49.9 IPS
 
Image Segmentation (F32)
100% 1107
6.84 IPS
 
Image Segmentation (F16)
100% 1077
6.65 IPS
 
Image Segmentation (I8)
89% 1441
8.90 IPS
 
Pose Estimation (F32)
100% 409
1.65 IPS
 
Pose Estimation (F16)
100% 408
1.65 IPS
 
Pose Estimation (I8)
80% 484
1.96 IPS
 
Object Detection (F32)
100% 1081
38.0 IPS
 
Object Detection (F16)
100% 1097
38.5 IPS
 
Object Detection (I8)
52% 785
27.5 IPS
 
Face Detection (F32)
100% 1322
15.2 IPS
 
Face Detection (F16)
100% 1279
14.7 IPS
 
Face Detection (I8)
75% 853
9.81 IPS
 
Text Classification (F32)
100% 1078
426.4 IPS
 
Text Classification (F16)
100% 1036
409.9 IPS
 
Machine Translation (F32)
100% 2052
316.2 IPS
 
Machine Translation (F16)
100% 2063
318.0 IPS
 

Compare

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