Geekbench ML Score

2887
TensorFlow Lite Core ML Inference Score
Geekbench ML 0.5.2 for iOS AArch64

Result Information

User RedGreenER
Upload Date February 22 2023 09:22 AM
Views 2

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 Core ML

Inference Performance

Workload Accuracy Score
Image Classification (F32)
100% 6743
722.5 IPS
 
Image Classification (F16)
100% 6454
691.5 IPS
 
Image Classification (I8)
81% 698
74.8 IPS
 
Image Segmentation (F32)
100% 2197
13.6 IPS
 
Image Segmentation (F16)
100% 2227
13.8 IPS
 
Image Segmentation (I8)
89% 1273
7.86 IPS
 
Pose Estimation (F32)
100% 23359
94.5 IPS
 
Pose Estimation (F16)
100% 23662
95.7 IPS
 
Pose Estimation (I8)
80% 241
0.97 IPS
 
Object Detection (F32)
100% 7564
265.4 IPS
 
Object Detection (F16)
100% 7463
261.9 IPS
 
Object Detection (I8)
52% 996
34.9 IPS
 
Face Detection (F32)
100% 8444
97.0 IPS
 
Face Detection (F16)
100% 8503
97.7 IPS
 
Face Detection (I8)
75% 968
11.1 IPS
 
Text Classification (F32)
100% 1178
465.8 IPS
 
Text Classification (F16)
100% 1178
466.0 IPS
 
Machine Translation (F32)
100% 2026
312.3 IPS
 
Machine Translation (F16)
100% 2036
313.7 IPS
 

Compare

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