Geekbench ML Score

932
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64

Result Information

User RedGreenER
Upload Date February 22 2023 09:13 AM
Views 3

System Information

System Information
Operating System iOS 16.3.1
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% 788
84.4 IPS
 
Image Classification (F16)
100% 757
81.1 IPS
 
Image Classification (I8)
81% 456
48.8 IPS
 
Image Segmentation (F32)
100% 1139
7.03 IPS
 
Image Segmentation (F16)
100% 1097
6.78 IPS
 
Image Segmentation (I8)
89% 1452
8.97 IPS
 
Pose Estimation (F32)
100% 432
1.75 IPS
 
Pose Estimation (F16)
100% 421
1.71 IPS
 
Pose Estimation (I8)
80% 495
2.00 IPS
 
Object Detection (F32)
100% 1090
38.3 IPS
 
Object Detection (F16)
100% 1101
38.6 IPS
 
Object Detection (I8)
52% 747
26.2 IPS
 
Face Detection (F32)
100% 1338
15.4 IPS
 
Face Detection (F16)
100% 1325
15.2 IPS
 
Face Detection (I8)
75% 844
9.70 IPS
 
Text Classification (F32)
100% 1014
401.0 IPS
 
Text Classification (F16)
100% 1051
415.5 IPS
 
Machine Translation (F32)
100% 2043
314.9 IPS
 
Machine Translation (F16)
100% 2038
314.1 IPS
 

Compare

Set Baseline Geekbench 6 now available