Geekbench ML Score

566
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64

Result Information

Upload Date September 23 2022 06:32 AM
Views 1

System Information

System Information
Operating System iOS 16.0
Model iPhone XS Max
Model IDiPhone11,6
Motherboard D331pAP
CPU Information
Name Apple A12 Bionic
Topology 1 Processor, 6 Cores
Identifier ARM
Base Frequency 2.49 GHz
L1 Instruction Cache48.0 KB x 1
L1 Data Cache32.0 KB x 1
L2 Cache2.00 MB x 1
Memory Information
Size 3.67 GB
Inference Information
Framework TensorFlow Lite
Backend CPU

Inference Performance

Workload Accuracy Score
Image Classification (F32)
100% 480
51.4 IPS
 
Image Classification (F16)
100% 474
50.8 IPS
 
Image Classification (I8)
81% 265
28.4 IPS
 
Image Segmentation (F32)
100% 771
4.76 IPS
 
Image Segmentation (F16)
100% 757
4.68 IPS
 
Image Segmentation (I8)
89% 964
5.96 IPS
 
Pose Estimation (F32)
100% 233
0.94 IPS
 
Pose Estimation (F16)
100% 204
0.83 IPS
 
Pose Estimation (I8)
80% 266
1.07 IPS
 
Object Detection (F32)
100% 689
24.2 IPS
 
Object Detection (F16)
100% 676
23.7 IPS
 
Object Detection (I8)
52% 508
17.8 IPS
 
Face Detection (F32)
100% 801
9.21 IPS
 
Face Detection (F16)
100% 803
9.23 IPS
 
Face Detection (I8)
75% 596
6.85 IPS
 
Text Classification (F32)
100% 716
283.3 IPS
 
Text Classification (F16)
100% 734
290.4 IPS
 
Machine Translation (F32)
100% 995
153.3 IPS
 
Machine Translation (F16)
100% 995
153.4 IPS
 

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