Geekbench ML Score

300
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64

Result Information

Upload Date June 10 2023 09:11 PM
Views 1

System Information

System Information
Operating System iOS 15.7.6
Model iPhone SE
Model IDiPhone8,4
Motherboard N69uAP
CPU Information
Name Apple A9
Topology 1 Processor, 2 Cores
Identifier ARM
Base Frequency 1.80 GHz
L1 Instruction Cache64.0 KB x 1
L1 Data Cache64.0 KB x 1
L2 Cache3.00 MB x 1
Memory Information
Size 1.97 GB
Inference Information
Framework TensorFlow Lite
Backend CPU

Inference Performance

Workload Accuracy Score
Image Classification (F32)
100% 202
21.6 IPS
 
Image Classification (F16)
100% 199
21.3 IPS
 
Image Classification (I8)
81% 335
35.8 IPS
 
Image Segmentation (F32)
100% 381
2.35 IPS
 
Image Segmentation (F16)
100% 382
2.36 IPS
 
Image Segmentation (I8)
89% 631
3.90 IPS
 
Pose Estimation (F32)
100% 111
0.45 IPS
 
Pose Estimation (F16)
100% 109
0.44 IPS
 
Pose Estimation (I8)
80% 106
0.43 IPS
 
Object Detection (F32)
100% 312
10.9 IPS
 
Object Detection (F16)
100% 320
11.2 IPS
 
Object Detection (I8)
52% 420
14.7 IPS
 
Face Detection (F32)
100% 384
4.41 IPS
 
Face Detection (F16)
100% 371
4.26 IPS
 
Face Detection (I8)
75% 397
4.56 IPS
 
Text Classification (F32)
100% 419
165.8 IPS
 
Text Classification (F16)
100% 420
166.1 IPS
 
Machine Translation (F32)
100% 432
66.6 IPS
 
Machine Translation (F16)
100% 417
64.2 IPS
 

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