Geekbench ML Score

918
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64

Result Information

Upload Date July 16 2022 04:25 PM
Views 1

System Information

System Information
Operating System iOS 15.5
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% 769
82.4 IPS
 
Image Classification (F16)
100% 755
80.9 IPS
 
Image Classification (I8)
81% 441
47.2 IPS
 
Image Segmentation (F32)
100% 1122
6.93 IPS
 
Image Segmentation (F16)
100% 1095
6.77 IPS
 
Image Segmentation (I8)
89% 1438
8.88 IPS
 
Pose Estimation (F32)
100% 415
1.68 IPS
 
Pose Estimation (F16)
100% 411
1.66 IPS
 
Pose Estimation (I8)
80% 491
1.99 IPS
 
Object Detection (F32)
100% 1070
37.6 IPS
 
Object Detection (F16)
100% 1083
38.0 IPS
 
Object Detection (I8)
52% 717
25.2 IPS
 
Face Detection (F32)
100% 1330
15.3 IPS
 
Face Detection (F16)
100% 1302
15.0 IPS
 
Face Detection (I8)
75% 846
9.72 IPS
 
Text Classification (F32)
100% 1005
397.3 IPS
 
Text Classification (F16)
100% 1104
436.8 IPS
 
Machine Translation (F32)
100% 1963
302.5 IPS
 
Machine Translation (F16)
100% 1969
303.4 IPS
 

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