Geekbench ML Score

714
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64

Result Information

Upload Date May 14 2022 09:52 AM
Views 1

System Information

System Information
Operating System iOS 15.5
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% 537
57.6 IPS
 
Image Classification (F16)
100% 526
56.4 IPS
 
Image Classification (I8)
81% 319
34.2 IPS
 
Image Segmentation (F32)
100% 873
5.39 IPS
 
Image Segmentation (F16)
100% 856
5.29 IPS
 
Image Segmentation (I8)
89% 1106
6.83 IPS
 
Pose Estimation (F32)
100% 254
1.03 IPS
 
Pose Estimation (F16)
100% 248
1.00 IPS
 
Pose Estimation (I8)
80% 336
1.36 IPS
 
Object Detection (F32)
100% 776
27.2 IPS
 
Object Detection (F16)
100% 772
27.1 IPS
 
Object Detection (I8)
52% 609
21.4 IPS
 
Face Detection (F32)
100% 960
11.0 IPS
 
Face Detection (F16)
100% 995
11.4 IPS
 
Face Detection (I8)
75% 714
8.21 IPS
 
Text Classification (F32)
100% 1653
654.0 IPS
 
Text Classification (F16)
100% 1818
718.9 IPS
 
Machine Translation (F32)
100% 1196
184.4 IPS
 
Machine Translation (F16)
100% 1196
184.4 IPS
 

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