Geekbench ML Score

928
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64

Result Information

Upload Date October 06 2022 11:04 AM
Views 1

System Information

System Information
Operating System iOS 16.0.2
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% 783
83.9 IPS
 
Image Classification (F16)
100% 759
81.3 IPS
 
Image Classification (I8)
81% 447
47.8 IPS
 
Image Segmentation (F32)
100% 1124
6.95 IPS
 
Image Segmentation (F16)
100% 1097
6.77 IPS
 
Image Segmentation (I8)
89% 1438
8.88 IPS
 
Pose Estimation (F32)
100% 432
1.75 IPS
 
Pose Estimation (F16)
100% 419
1.70 IPS
 
Pose Estimation (I8)
80% 492
1.99 IPS
 
Object Detection (F32)
100% 1101
38.6 IPS
 
Object Detection (F16)
100% 1101
38.6 IPS
 
Object Detection (I8)
52% 726
25.5 IPS
 
Face Detection (F32)
100% 1355
15.6 IPS
 
Face Detection (F16)
100% 1319
15.2 IPS
 
Face Detection (I8)
75% 848
9.74 IPS
 
Text Classification (F32)
100% 994
393.2 IPS
 
Text Classification (F16)
100% 1066
421.6 IPS
 
Machine Translation (F32)
100% 2033
313.3 IPS
 
Machine Translation (F16)
100% 2043
314.8 IPS
 

Compare

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