Geekbench ML Score

684
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64

Result Information

Upload Date January 25 2023 10:10 AM
Views 1

System Information

System Information
Operating System iOS 16.2
Model iPhone 11 Pro Max
Model IDiPhone12,5
Motherboard D431AP
CPU Information
Name Apple A13 Bionic
Topology 1 Processor, 6 Cores
Identifier ARM
Base Frequency 2.66 GHz
L1 Instruction Cache96.0 KB x 1
L1 Data Cache48.0 KB x 1
L2 Cache4.00 MB x 1
Memory Information
Size 3.66 GB
Inference Information
Framework TensorFlow Lite
Backend CPU

Inference Performance

Workload Accuracy Score
Image Classification (F32)
100% 560
60.0 IPS
 
Image Classification (F16)
100% 548
58.7 IPS
 
Image Classification (I8)
81% 195
20.9 IPS
 
Image Segmentation (F32)
100% 865
5.34 IPS
 
Image Segmentation (F16)
100% 841
5.19 IPS
 
Image Segmentation (I8)
89% 1090
6.74 IPS
 
Pose Estimation (F32)
100% 255
1.03 IPS
 
Pose Estimation (F16)
100% 255
1.03 IPS
 
Pose Estimation (I8)
80% 319
1.29 IPS
 
Object Detection (F32)
100% 715
25.1 IPS
 
Object Detection (F16)
100% 736
25.8 IPS
 
Object Detection (I8)
52% 611
21.4 IPS
 
Face Detection (F32)
100% 881
10.1 IPS
 
Face Detection (F16)
100% 841
9.66 IPS
 
Face Detection (I8)
75% 700
8.04 IPS
 
Text Classification (F32)
100% 1721
680.6 IPS
 
Text Classification (F16)
100% 1762
696.9 IPS
 
Machine Translation (F32)
100% 1216
187.4 IPS
 
Machine Translation (F16)
100% 1216
187.4 IPS
 

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