Geekbench ML Score

481
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.1 for iOS AArch64

Result Information

Upload Date October 21 2021 07:08 PM
Views 1

System Information

System Information
Operating System iOS 15.0.2
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
Device

Inference Performance

Workload Accuracy Score
Image Classification (F32)
100% 468
50.2 IPS
 
Image Classification (F16)
100% 461
49.4 IPS
 
Image Classification (I8)
81% 163
17.4 IPS
 
Image Segmentation (F32)
100% 738
4.56 IPS
 
Image Segmentation (F16)
100% 716
4.42 IPS
 
Image Segmentation (I8)
89% 935
5.78 IPS
 
Pose Estimation (F32)
100% 208
0.84 IPS
 
Pose Estimation (F16)
100% 144
0.58 IPS
 
Pose Estimation (I8)
80% 243
0.98 IPS
 
Object Detection (F32)
100% 678
23.8 IPS
 
Object Detection (F16)
100% 672
23.6 IPS
 
Object Detection (I8)
52% 365
12.8 IPS
 
Face Detection (F32)
100% 765
8.78 IPS
 
Face Detection (F16)
100% 747
8.58 IPS
 
Face Detection (I8)
75% 509
5.85 IPS
 
Text Classification (F32)
100% 396
156.5 IPS
 
Text Classification (F16)
100% 385
152.1 IPS
 
Machine Translation (F32)
100% 1002
154.4 IPS
 
Machine Translation (F16)
100% 1002
154.4 IPS
 

Compare

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