Geekbench ML Score

926
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64

Result Information

Upload Date December 08 2022 06:30 AM
Views 1

System Information

System Information
Operating System iOS 16.0
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% 792
84.8 IPS
 
Image Classification (F16)
100% 774
83.0 IPS
 
Image Classification (I8)
81% 467
50.1 IPS
 
Image Segmentation (F32)
100% 1126
6.95 IPS
 
Image Segmentation (F16)
100% 1092
6.75 IPS
 
Image Segmentation (I8)
89% 1452
8.97 IPS
 
Pose Estimation (F32)
100% 415
1.68 IPS
 
Pose Estimation (F16)
100% 409
1.66 IPS
 
Pose Estimation (I8)
80% 477
1.93 IPS
 
Object Detection (F32)
100% 1081
37.9 IPS
 
Object Detection (F16)
100% 1085
38.1 IPS
 
Object Detection (I8)
52% 747
26.2 IPS
 
Face Detection (F32)
100% 1327
15.2 IPS
 
Face Detection (F16)
100% 1274
14.6 IPS
 
Face Detection (I8)
75% 857
9.84 IPS
 
Text Classification (F32)
100% 1029
407.2 IPS
 
Text Classification (F16)
100% 1058
418.6 IPS
 
Machine Translation (F32)
100% 2022
311.6 IPS
 
Machine Translation (F16)
100% 2025
312.2 IPS
 

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