Geekbench ML Score

315
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64

Result Information

Upload Date December 08 2022 06:55 PM
Views 1

System Information

System Information
Operating System iOS 15.5
Model iPhone 11
Model IDiPhone12,1
Motherboard N104AP
CPU Information
Name Apple A13 Bionic
Topology 1 Processor, 6 Cores
Identifier ARM
Base Frequency 2.66 GHz
L1 Instruction Cache96.0 KB x 1
L1 Data Cache48.0 KB x 1
L2 Cache4.00 MB x 1
Memory Information
Size 3.76 GB
Inference Information
Framework TensorFlow Lite
Backend CPU

Inference Performance

Workload Accuracy Score
Image Classification (F32)
100% 206
22.1 IPS
 
Image Classification (F16)
100% 206
22.1 IPS
 
Image Classification (I8)
81% 197
21.1 IPS
 
Image Segmentation (F32)
100% 378
2.33 IPS
 
Image Segmentation (F16)
100% 377
2.33 IPS
 
Image Segmentation (I8)
89% 525
3.24 IPS
 
Pose Estimation (F32)
100% 85
0.34 IPS
 
Pose Estimation (F16)
100% 84
0.34 IPS
 
Pose Estimation (I8)
80% 125
0.51 IPS
 
Object Detection (F32)
100% 324
11.4 IPS
 
Object Detection (F16)
100% 324
11.4 IPS
 
Object Detection (I8)
52% 307
10.8 IPS
 
Face Detection (F32)
100% 395
4.54 IPS
 
Face Detection (F16)
100% 388
4.46 IPS
 
Face Detection (I8)
75% 321
3.69 IPS
 
Text Classification (F32)
100% 768
303.7 IPS
 
Text Classification (F16)
100% 925
365.7 IPS
 
Machine Translation (F32)
100% 651
100.3 IPS
 
Machine Translation (F16)
100% 720
110.9 IPS
 

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