Geekbench ML Score

896
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64

Result Information

Upload Date May 16 2023 06:31 AM
Views 1

System Information

System Information
Operating System iOS 16.4.1
Model iPhone 13
Model IDiPhone14,5
Motherboard D17AP
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 3.56 GB
Inference Information
Framework TensorFlow Lite
Backend CPU
Device

Inference Performance

Workload Accuracy Score
Image Classification (F32)
100% 754
80.8 IPS
 
Image Classification (F16)
100% 734
78.6 IPS
 
Image Classification (I8)
81% 465
49.9 IPS
 
Image Segmentation (F32)
100% 1074
6.64 IPS
 
Image Segmentation (F16)
100% 1034
6.38 IPS
 
Image Segmentation (I8)
89% 1436
8.87 IPS
 
Pose Estimation (F32)
100% 398
1.61 IPS
 
Pose Estimation (F16)
100% 388
1.57 IPS
 
Pose Estimation (I8)
80% 457
1.85 IPS
 
Object Detection (F32)
100% 1001
35.1 IPS
 
Object Detection (F16)
100% 1003
35.2 IPS
 
Object Detection (I8)
52% 752
26.4 IPS
 
Face Detection (F32)
100% 1269
14.6 IPS
 
Face Detection (F16)
100% 1223
14.1 IPS
 
Face Detection (I8)
75% 838
9.63 IPS
 
Text Classification (F32)
100% 1003
396.8 IPS
 
Text Classification (F16)
100% 1043
412.6 IPS
 
Machine Translation (F32)
100% 2040
314.4 IPS
 
Machine Translation (F16)
100% 2062
317.9 IPS
 

Compare

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