Geekbench ML Score

2891
TensorFlow Lite Core ML Inference Score
Geekbench ML 0.5.2 for iOS AArch64

Result Information

Upload Date May 31 2023 02:31 PM
Views 2

System Information

System Information
Operating System iOS 16.5
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 Core ML
Device

Inference Performance

Workload Accuracy Score
Image Classification (F32)
100% 6104
654.0 IPS
 
Image Classification (F16)
100% 6317
676.8 IPS
 
Image Classification (I8)
81% 699
74.9 IPS
 
Image Segmentation (F32)
100% 2191
13.5 IPS
 
Image Segmentation (F16)
100% 2171
13.4 IPS
 
Image Segmentation (I8)
89% 1276
7.88 IPS
 
Pose Estimation (F32)
100% 24719
100.0 IPS
 
Pose Estimation (F16)
100% 23582
95.4 IPS
 
Pose Estimation (I8)
80% 241
0.97 IPS
 
Object Detection (F32)
100% 7331
257.3 IPS
 
Object Detection (F16)
100% 7319
256.9 IPS
 
Object Detection (I8)
52% 997
35.0 IPS
 
Face Detection (F32)
100% 8520
97.9 IPS
 
Face Detection (F16)
100% 8724
100.2 IPS
 
Face Detection (I8)
75% 972
11.2 IPS
 
Text Classification (F32)
100% 1217
481.5 IPS
 
Text Classification (F16)
100% 1267
501.2 IPS
 
Machine Translation (F32)
100% 2050
316.0 IPS
 
Machine Translation (F16)
100% 2050
315.9 IPS
 

Compare

Set Baseline Geekbench 6 now available