Geekbench ML Score

636
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64

Result Information

Upload Date May 15 2022 05:56 PM
Views 1

System Information

System Information
Operating System iOS 15.3.1
Model iPhone 12
Model IDiPhone13,2
Motherboard D53gAP
CPU Information
Name Apple A14 Bionic
Topology 1 Processor, 6 Cores
Identifier ARM
Base Frequency 2.99 GHz
L1 Instruction Cache128 KB x 1
L1 Data Cache64.0 KB x 1
L2 Cache4.00 MB x 1
Memory Information
Size 3.62 GB
Inference Information
Framework TensorFlow Lite
Backend CPU
Device

Inference Performance

Workload Accuracy Score
Image Classification (F32)
100% 406
43.5 IPS
 
Image Classification (F16)
100% 416
44.5 IPS
 
Image Classification (I8)
81% 803
86.0 IPS
 
Image Segmentation (F32)
100% 518
3.20 IPS
 
Image Segmentation (F16)
100% 513
3.17 IPS
 
Image Segmentation (I8)
89% 1211
7.48 IPS
 
Pose Estimation (F32)
100% 243
0.98 IPS
 
Pose Estimation (F16)
100% 299
1.21 IPS
 
Pose Estimation (I8)
80% 361
1.46 IPS
 
Object Detection (F32)
100% 613
21.5 IPS
 
Object Detection (F16)
100% 606
21.3 IPS
 
Object Detection (I8)
52% 909
31.9 IPS
 
Face Detection (F32)
100% 741
8.51 IPS
 
Face Detection (F16)
100% 745
8.56 IPS
 
Face Detection (I8)
75% 937
10.8 IPS
 
Text Classification (F32)
100% 1207
477.3 IPS
 
Text Classification (F16)
100% 1211
479.1 IPS
 
Machine Translation (F32)
100% 803
123.7 IPS
 
Machine Translation (F16)
100% 797
122.8 IPS
 

Compare

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