Geekbench ML Score

915
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64

Result Information

Upload Date January 25 2023 09:54 AM
Views 1

System Information

System Information
Operating System iOS 16.3
Model iPhone 13 Pro
Model IDiPhone14,2
Motherboard D63AP
CPU Information
Name Apple A15 Bionic
Topology 1 Processor, 6 Cores
Identifier ARM
Base Frequency 3.23 GHz
L1 Instruction Cache128 KB x 1
L1 Data Cache64.0 KB x 1
L2 Cache4.00 MB x 1
Memory Information
Size 5.52 GB
Inference Information
Framework TensorFlow Lite
Backend CPU

Inference Performance

Workload Accuracy Score
Image Classification (F32)
100% 756
81.0 IPS
 
Image Classification (F16)
100% 742
79.5 IPS
 
Image Classification (I8)
81% 456
48.9 IPS
 
Image Segmentation (F32)
100% 1085
6.70 IPS
 
Image Segmentation (F16)
100% 1054
6.51 IPS
 
Image Segmentation (I8)
89% 1450
8.96 IPS
 
Pose Estimation (F32)
100% 410
1.66 IPS
 
Pose Estimation (F16)
100% 402
1.63 IPS
 
Pose Estimation (I8)
80% 481
1.95 IPS
 
Object Detection (F32)
100% 1064
37.3 IPS
 
Object Detection (F16)
100% 1048
36.8 IPS
 
Object Detection (I8)
52% 771
27.1 IPS
 
Face Detection (F32)
100% 1292
14.8 IPS
 
Face Detection (F16)
100% 1260
14.5 IPS
 
Face Detection (I8)
75% 856
9.84 IPS
 
Text Classification (F32)
100% 1006
397.8 IPS
 
Text Classification (F16)
100% 1093
432.1 IPS
 
Machine Translation (F32)
100% 2039
314.2 IPS
 
Machine Translation (F16)
100% 2053
316.3 IPS
 

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