Geekbench ML Score

916
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64

Result Information

Upload Date December 08 2022 05:41 AM
Views 1

System Information

System Information
Operating System iOS 16.1.2
Model iPhone 13
Model IDiPhone14,5
Motherboard D17AP
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 3.56 GB
Inference Information
Framework TensorFlow Lite
Backend CPU

Inference Performance

Workload Accuracy Score
Image Classification (F32)
100% 775
83.1 IPS
 
Image Classification (F16)
100% 746
79.9 IPS
 
Image Classification (I8)
81% 458
49.1 IPS
 
Image Segmentation (F32)
100% 1095
6.76 IPS
 
Image Segmentation (F16)
100% 1057
6.53 IPS
 
Image Segmentation (I8)
89% 1456
8.99 IPS
 
Pose Estimation (F32)
100% 412
1.67 IPS
 
Pose Estimation (F16)
100% 404
1.63 IPS
 
Pose Estimation (I8)
80% 472
1.91 IPS
 
Object Detection (F32)
100% 1028
36.1 IPS
 
Object Detection (F16)
100% 1037
36.4 IPS
 
Object Detection (I8)
52% 789
27.7 IPS
 
Face Detection (F32)
100% 1293
14.9 IPS
 
Face Detection (F16)
100% 1256
14.4 IPS
 
Face Detection (I8)
75% 856
9.84 IPS
 
Text Classification (F32)
100% 1017
402.3 IPS
 
Text Classification (F16)
100% 1098
434.4 IPS
 
Machine Translation (F32)
100% 2056
316.8 IPS
 
Machine Translation (F16)
100% 2048
315.7 IPS
 

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