Geekbench ML Score

620
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64

Result Information

Upload Date May 31 2023 11:57 AM
Views 2

System Information

System Information
Operating System iOS 16.0
Model iPhone SE (2nd generation)
Model IDiPhone12,8
Motherboard D79AP
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 2.89 GB
Inference Information
Framework TensorFlow Lite
Backend CPU

Inference Performance

Workload Accuracy Score
Image Classification (F32)
100% 351
37.6 IPS
 
Image Classification (F16)
100% 378
40.5 IPS
 
Image Classification (I8)
81% 309
33.1 IPS
 
Image Segmentation (F32)
100% 679
4.19 IPS
 
Image Segmentation (F16)
100% 693
4.28 IPS
 
Image Segmentation (I8)
89% 1062
6.56 IPS
 
Pose Estimation (F32)
100% 170
0.69 IPS
 
Pose Estimation (F16)
100% 170
0.69 IPS
 
Pose Estimation (I8)
80% 296
1.20 IPS
 
Object Detection (F32)
100% 771
27.1 IPS
 
Object Detection (F16)
100% 770
27.0 IPS
 
Object Detection (I8)
52% 603
21.2 IPS
 
Face Detection (F32)
100% 829
9.52 IPS
 
Face Detection (F16)
100% 832
9.55 IPS
 
Face Detection (I8)
75% 692
7.95 IPS
 
Text Classification (F32)
100% 1683
665.6 IPS
 
Text Classification (F16)
100% 1563
618.3 IPS
 
Machine Translation (F32)
100% 1205
185.7 IPS
 
Machine Translation (F16)
100% 1200
185.0 IPS
 

Compare

Set Baseline Geekbench 6 now available