Geekbench ML Score

1684
TensorFlow Lite Core ML Inference Score
Geekbench ML 0.5.1 for iOS AArch64

Result Information

Upload Date September 17 2021 12:43 PM
Views 3

System Information

System Information
Operating System iOS 15.0
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

Inference Performance

Workload Accuracy Score
Image Classification (F32)
100% 4509
483.1 IPS
 
Image Classification (F16)
100% 4517
484.0 IPS
 
Image Classification (I8)
81% 451
48.3 IPS
 
Image Segmentation (F32)
100% 1596
9.86 IPS
 
Image Segmentation (F16)
100% 1594
9.84 IPS
 
Image Segmentation (I8)
89% 810
5.00 IPS
 
Pose Estimation (F32)
100% 9726
39.4 IPS
 
Pose Estimation (F16)
100% 9314
37.7 IPS
 
Pose Estimation (I8)
80% 151
0.61 IPS
 
Object Detection (F32)
94% 5494
192.8 IPS
 
Object Detection (F16)
94% 5527
194.0 IPS
 
Object Detection (I8)
52% 623
21.8 IPS
 
Face Detection (F32)
67% 5729
65.8 IPS
 
Face Detection (F16)
67% 5696
65.4 IPS
 
Face Detection (I8)
75% 611
7.02 IPS
 
Text Classification (F32)
100% 790
312.6 IPS
 
Text Classification (F16)
100% 299
118.3 IPS
 
Machine Translation (F32)
100% 866
133.5 IPS
 
Machine Translation (F16)
100% 1009
155.5 IPS
 

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