Geekbench ML Score

933
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64

Result Information

Upload Date February 22 2023 01:05 PM
Views 3

System Information

System Information
Operating System iOS 16.3
Model iPhone 13 Pro Max
Model IDiPhone14,3
Motherboard D64AP
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 5.49 GB
Inference Information
Framework TensorFlow Lite
Backend CPU
Device

Inference Performance

Workload Accuracy Score
Image Classification (F32)
100% 780
83.6 IPS
 
Image Classification (F16)
100% 766
82.1 IPS
 
Image Classification (I8)
81% 464
49.7 IPS
 
Image Segmentation (F32)
100% 1138
7.03 IPS
 
Image Segmentation (F16)
100% 1101
6.80 IPS
 
Image Segmentation (I8)
89% 1453
8.98 IPS
 
Pose Estimation (F32)
100% 436
1.77 IPS
 
Pose Estimation (F16)
100% 428
1.73 IPS
 
Pose Estimation (I8)
80% 496
2.01 IPS
 
Object Detection (F32)
100% 1092
38.3 IPS
 
Object Detection (F16)
100% 1095
38.4 IPS
 
Object Detection (I8)
52% 773
27.1 IPS
 
Face Detection (F32)
100% 1323
15.2 IPS
 
Face Detection (F16)
100% 1307
15.0 IPS
 
Face Detection (I8)
75% 854
9.81 IPS
 
Text Classification (F32)
100% 982
388.4 IPS
 
Text Classification (F16)
100% 1043
412.7 IPS
 
Machine Translation (F32)
100% 2033
313.3 IPS
 
Machine Translation (F16)
100% 2044
315.0 IPS
 

Compare

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