Geekbench ML Score

1373
TensorFlow Lite GPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64

Result Information

Upload Date December 09 2022 01:00 AM
Views 1

System Information

System Information
Operating System iOS 16.1.1
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 GPU

Inference Performance

Workload Accuracy Score
Image Classification (F32)
100% 1160
124.3 IPS
 
Image Classification (F16)
100% 1573
168.6 IPS
 
Image Classification (I8)
81% 449
48.1 IPS
 
Image Segmentation (F32)
100% 3460
21.4 IPS
 
Image Segmentation (F16)
100% 5369
33.2 IPS
 
Image Segmentation (I8)
89% 836
5.16 IPS
 
Pose Estimation (F32)
100% 1425
5.76 IPS
 
Pose Estimation (F16)
100% 4424
17.9 IPS
 
Pose Estimation (I8)
80% 152
0.62 IPS
 
Object Detection (F32)
100% 1510
53.0 IPS
 
Object Detection (F16)
99% 1816
63.7 IPS
 
Object Detection (I8)
52% 628
22.0 IPS
 
Face Detection (F32)
100% 3628
41.7 IPS
 
Face Detection (F16)
97% 5372
61.7 IPS
 
Face Detection (I8)
75% 630
7.24 IPS
 
Text Classification (F32)
100% 953
377.0 IPS
 
Text Classification (F16)
98% 1216
481.1 IPS
 
Machine Translation (F32)
100% 1166
179.7 IPS
 
Machine Translation (F16)
100% 1186
182.8 IPS
 

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