Geekbench ML Score

951
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64

Result Information

Upload Date December 08 2022 08:21 AM
Views 1

System Information

System Information
Operating System iOS 16.1.2
Model iPhone 13 Pro Max
Model IDiPhone14,3
Motherboard D64AP
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 5.49 GB
Inference Information
Framework TensorFlow Lite
Backend CPU

Inference Performance

Workload Accuracy Score
Image Classification (F32)
100% 782
83.8 IPS
 
Image Classification (F16)
100% 778
83.3 IPS
 
Image Classification (I8)
81% 462
49.5 IPS
 
Image Segmentation (F32)
100% 1172
7.24 IPS
 
Image Segmentation (F16)
100% 1150
7.10 IPS
 
Image Segmentation (I8)
89% 1449
8.95 IPS
 
Pose Estimation (F32)
100% 451
1.83 IPS
 
Pose Estimation (F16)
100% 446
1.80 IPS
 
Pose Estimation (I8)
80% 509
2.06 IPS
 
Object Detection (F32)
100% 1133
39.8 IPS
 
Object Detection (F16)
100% 1140
40.0 IPS
 
Object Detection (I8)
52% 773
27.1 IPS
 
Face Detection (F32)
100% 1371
15.7 IPS
 
Face Detection (F16)
100% 1337
15.4 IPS
 
Face Detection (I8)
75% 854
9.81 IPS
 
Text Classification (F32)
100% 1063
420.5 IPS
 
Text Classification (F16)
100% 1002
396.4 IPS
 
Machine Translation (F32)
100% 2046
315.4 IPS
 
Machine Translation (F16)
100% 2047
315.4 IPS
 

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