Geekbench ML Score

970
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64

Result Information

Upload Date January 25 2023 10:27 AM
Views 1

System Information

System Information
Operating System iOS 16.3
Model iPhone 13 Pro
Model IDiPhone14,2
Motherboard D63AP
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 5.52 GB
Inference Information
Framework TensorFlow Lite
Backend CPU

Inference Performance

Workload Accuracy Score
Image Classification (F32)
100% 790
84.7 IPS
 
Image Classification (F16)
100% 790
84.7 IPS
 
Image Classification (I8)
81% 461
49.3 IPS
 
Image Segmentation (F32)
100% 1175
7.26 IPS
 
Image Segmentation (F16)
100% 1186
7.32 IPS
 
Image Segmentation (I8)
89% 1469
9.08 IPS
 
Pose Estimation (F32)
100% 458
1.85 IPS
 
Pose Estimation (F16)
100% 445
1.80 IPS
 
Pose Estimation (I8)
80% 517
2.09 IPS
 
Object Detection (F32)
100% 1144
40.1 IPS
 
Object Detection (F16)
100% 1159
40.7 IPS
 
Object Detection (I8)
52% 756
26.5 IPS
 
Face Detection (F32)
100% 1406
16.2 IPS
 
Face Detection (F16)
100% 1376
15.8 IPS
 
Face Detection (I8)
75% 848
9.74 IPS
 
Text Classification (F32)
100% 1171
463.0 IPS
 
Text Classification (F16)
100% 1141
451.3 IPS
 
Machine Translation (F32)
100% 2035
313.6 IPS
 
Machine Translation (F16)
100% 2040
314.4 IPS
 

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