Geekbench ML Score

914
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64

Result Information

Upload Date May 31 2023 02:28 PM
Views 1

System Information

System Information
Operating System iOS 16.5
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% 751
80.4 IPS
 
Image Classification (F16)
100% 737
78.9 IPS
 
Image Classification (I8)
81% 468
50.1 IPS
 
Image Segmentation (F32)
100% 1091
6.74 IPS
 
Image Segmentation (F16)
100% 1058
6.53 IPS
 
Image Segmentation (I8)
89% 1446
8.93 IPS
 
Pose Estimation (F32)
100% 412
1.67 IPS
 
Pose Estimation (F16)
100% 405
1.64 IPS
 
Pose Estimation (I8)
80% 476
1.92 IPS
 
Object Detection (F32)
100% 1041
36.5 IPS
 
Object Detection (F16)
100% 1036
36.4 IPS
 
Object Detection (I8)
52% 747
26.2 IPS
 
Face Detection (F32)
100% 1299
14.9 IPS
 
Face Detection (F16)
100% 1260
14.5 IPS
 
Face Detection (I8)
75% 847
9.73 IPS
 
Text Classification (F32)
100% 1047
414.0 IPS
 
Text Classification (F16)
100% 1097
433.8 IPS
 
Machine Translation (F32)
100% 2038
314.1 IPS
 
Machine Translation (F16)
100% 2056
316.8 IPS
 

Compare

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