Geekbench ML Score

929
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64

Result Information

Upload Date January 25 2023 09:48 AM
Views 1

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

Inference Performance

Workload Accuracy Score
Image Classification (F32)
100% 779
83.5 IPS
 
Image Classification (F16)
100% 760
81.5 IPS
 
Image Classification (I8)
81% 458
49.1 IPS
 
Image Segmentation (F32)
100% 1135
7.01 IPS
 
Image Segmentation (F16)
100% 1111
6.86 IPS
 
Image Segmentation (I8)
89% 1466
9.06 IPS
 
Pose Estimation (F32)
100% 437
1.77 IPS
 
Pose Estimation (F16)
100% 428
1.73 IPS
 
Pose Estimation (I8)
80% 496
2.01 IPS
 
Object Detection (F32)
100% 1105
38.8 IPS
 
Object Detection (F16)
100% 1121
39.3 IPS
 
Object Detection (I8)
52% 771
27.1 IPS
 
Face Detection (F32)
100% 1334
15.3 IPS
 
Face Detection (F16)
100% 1306
15.0 IPS
 
Face Detection (I8)
75% 848
9.74 IPS
 
Text Classification (F32)
100% 901
356.4 IPS
 
Text Classification (F16)
100% 999
395.3 IPS
 
Machine Translation (F32)
100% 2043
314.9 IPS
 
Machine Translation (F16)
100% 2046
315.4 IPS
 

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