Geekbench ML Score

1730
TensorFlow Lite Core ML Inference Score
Geekbench ML 0.5.2 for iOS AArch64

Result Information

Upload Date August 14 2023 11:27 AM
Views 2

System Information

System Information
Operating System iOS 17.0
Model iPhone 11 Pro Max
Model IDiPhone12,5
Motherboard D431AP
CPU Information
Name Apple A13 Bionic
Topology 1 Processor, 6 Cores
Identifier ARM
Base Frequency 2.66 GHz
L1 Instruction Cache96.0 KB x 1
L1 Data Cache48.0 KB x 1
L2 Cache4.00 MB x 1
Memory Information
Size 3.66 GB
Inference Information
Framework TensorFlow Lite
Backend Core ML
Device

Inference Performance

Workload Accuracy Score
Image Classification (F32)
100% 4618
494.8 IPS
 
Image Classification (F16)
100% 4495
481.6 IPS
 
Image Classification (I8)
81% 448
48.0 IPS
 
Image Segmentation (F32)
100% 1460
9.02 IPS
 
Image Segmentation (F16)
100% 1465
9.05 IPS
 
Image Segmentation (I8)
89% 824
5.09 IPS
 
Pose Estimation (F32)
100% 8518
34.5 IPS
 
Pose Estimation (F16)
100% 8622
34.9 IPS
 
Pose Estimation (I8)
80% 153
0.62 IPS
 
Object Detection (F32)
94% 5100
179.0 IPS
 
Object Detection (F16)
94% 4998
175.4 IPS
 
Object Detection (I8)
52% 624
21.9 IPS
 
Face Detection (F32)
67% 5745
66.0 IPS
 
Face Detection (F16)
67% 5849
67.2 IPS
 
Face Detection (I8)
75% 620
7.12 IPS
 
Text Classification (F32)
100% 787
311.2 IPS
 
Text Classification (F16)
100% 794
314.0 IPS
 
Machine Translation (F32)
100% 1111
171.3 IPS
 
Machine Translation (F16)
100% 790
121.7 IPS
 

Compare

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