Geekbench ML Score

924
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64

Result Information

Upload Date December 09 2022 02:30 AM
Views 1

System Information

System Information
Operating System iOS 16.1.2
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

Inference Performance

Workload Accuracy Score
Image Classification (F32)
100% 775
83.0 IPS
 
Image Classification (F16)
100% 759
81.4 IPS
 
Image Classification (I8)
81% 458
49.1 IPS
 
Image Segmentation (F32)
100% 1123
6.94 IPS
 
Image Segmentation (F16)
100% 1073
6.63 IPS
 
Image Segmentation (I8)
89% 1449
8.95 IPS
 
Pose Estimation (F32)
100% 419
1.70 IPS
 
Pose Estimation (F16)
100% 408
1.65 IPS
 
Pose Estimation (I8)
80% 480
1.94 IPS
 
Object Detection (F32)
100% 1086
38.1 IPS
 
Object Detection (F16)
100% 1085
38.1 IPS
 
Object Detection (I8)
52% 766
26.9 IPS
 
Face Detection (F32)
100% 1315
15.1 IPS
 
Face Detection (F16)
100% 1292
14.8 IPS
 
Face Detection (I8)
75% 859
9.86 IPS
 
Text Classification (F32)
100% 957
378.6 IPS
 
Text Classification (F16)
100% 1081
427.5 IPS
 
Machine Translation (F32)
100% 2067
318.6 IPS
 
Machine Translation (F16)
100% 2049
315.8 IPS
 

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