Geekbench ML Score

945
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64

Result Information

Upload Date January 25 2023 09:44 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% 786
84.2 IPS
 
Image Classification (F16)
100% 765
82.0 IPS
 
Image Classification (I8)
81% 454
48.6 IPS
 
Image Segmentation (F32)
100% 1124
6.94 IPS
 
Image Segmentation (F16)
100% 1134
7.01 IPS
 
Image Segmentation (I8)
89% 1447
8.93 IPS
 
Pose Estimation (F32)
100% 442
1.79 IPS
 
Pose Estimation (F16)
100% 433
1.75 IPS
 
Pose Estimation (I8)
80% 499
2.02 IPS
 
Object Detection (F32)
100% 1133
39.8 IPS
 
Object Detection (F16)
100% 1118
39.2 IPS
 
Object Detection (I8)
52% 771
27.1 IPS
 
Face Detection (F32)
100% 1335
15.3 IPS
 
Face Detection (F16)
100% 1307
15.0 IPS
 
Face Detection (I8)
75% 858
9.86 IPS
 
Text Classification (F32)
100% 1080
427.3 IPS
 
Text Classification (F16)
100% 1082
428.0 IPS
 
Machine Translation (F32)
100% 2043
314.9 IPS
 
Machine Translation (F16)
100% 2046
315.3 IPS
 

Compare

Set Baseline