Geekbench ML Score

935
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64

Result Information

Upload Date January 15 2022 01:08 AM
Views 1

System Information

System Information
Operating System iOS 15.3
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 5.53 GB
Inference Information
Framework TensorFlow Lite
Backend CPU

Inference Performance

Workload Accuracy Score
Image Classification (F32)
100% 766
82.1 IPS
 
Image Classification (F16)
100% 754
80.8 IPS
 
Image Classification (I8)
81% 458
49.1 IPS
 
Image Segmentation (F32)
100% 1123
6.93 IPS
 
Image Segmentation (F16)
100% 1076
6.65 IPS
 
Image Segmentation (I8)
89% 1441
8.90 IPS
 
Pose Estimation (F32)
100% 417
1.69 IPS
 
Pose Estimation (F16)
100% 414
1.67 IPS
 
Pose Estimation (I8)
80% 491
1.99 IPS
 
Object Detection (F32)
100% 1058
37.1 IPS
 
Object Detection (F16)
100% 1063
37.3 IPS
 
Object Detection (I8)
52% 749
26.3 IPS
 
Face Detection (F32)
100% 1321
15.2 IPS
 
Face Detection (F16)
100% 1280
14.7 IPS
 
Face Detection (I8)
75% 856
9.83 IPS
 
Text Classification (F32)
100% 1203
475.6 IPS
 
Text Classification (F16)
100% 1263
499.4 IPS
 
Machine Translation (F32)
100% 1984
305.8 IPS
 
Machine Translation (F16)
100% 1969
303.5 IPS
 

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