Geekbench ML Score

1037
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64

Result Information

Upload Date November 30 2023 02:28 PM
Views 4

System Information

System Information
Operating System iOS 17.1.1
Model iPhone 13 Pro
Model IDiPhone14,2
Motherboard D63AP
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 5.51 GB
Inference Information
Framework TensorFlow Lite
Backend CPU
Device

Inference Performance

Workload Accuracy Score
Image Classification (F32)
100% 808
86.5 IPS
 
Image Classification (F16)
100% 793
85.0 IPS
 
Image Classification (I8)
81% 437
46.8 IPS
 
Image Segmentation (F32)
100% 1107
6.84 IPS
 
Image Segmentation (F16)
100% 1073
6.63 IPS
 
Image Segmentation (I8)
89% 1420
8.77 IPS
 
Pose Estimation (F32)
100% 411
1.66 IPS
 
Pose Estimation (F16)
100% 408
1.65 IPS
 
Pose Estimation (I8)
80% 471
1.91 IPS
 
Object Detection (F32)
100% 1115
39.1 IPS
 
Object Detection (F16)
100% 1130
39.7 IPS
 
Object Detection (I8)
52% 720
25.3 IPS
 
Face Detection (F32)
100% 1361
15.6 IPS
 
Face Detection (F16)
100% 1338
15.4 IPS
 
Face Detection (I8)
75% 839
9.64 IPS
 
Text Classification (F32)
100% 2845
1.13 KIPS
 
Text Classification (F16)
100% 3052
1.21 KIPS
 
Machine Translation (F32)
100% 2112
325.5 IPS
 
Machine Translation (F16)
100% 2110
325.1 IPS
 

Compare

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