Geekbench ML Score

283
TensorFlow Lite Core ML Inference Score
Geekbench ML 0.5.2 for iOS AArch64

Result Information

Upload Date September 23 2022 05:57 AM
Views 1

System Information

System Information
Operating System iOS 15.7
Model iPhone 6s Plus
Model IDiPhone8,2
Motherboard N66mAP
CPU Information
Name Apple A9
Topology 1 Processor, 2 Cores
Identifier ARM
Base Frequency 1.85 GHz
L1 Instruction Cache64.0 KB x 1
L1 Data Cache64.0 KB x 1
L2 Cache3.00 MB x 1
Memory Information
Size 1.94 GB
Inference Information
Framework TensorFlow Lite
Backend Core ML

Inference Performance

Workload Accuracy Score
Image Classification (F32)
100% 233
24.9 IPS
 
Image Classification (F16)
100% 251
26.9 IPS
 
Image Classification (I8)
81% 192
20.6 IPS
 
Image Segmentation (F32)
100% 488
3.01 IPS
 
Image Segmentation (F16)
100% 481
2.97 IPS
 
Image Segmentation (I8)
89% 365
2.25 IPS
 
Pose Estimation (F32)
100% 311
1.26 IPS
 
Pose Estimation (F16)
100% 313
1.26 IPS
 
Pose Estimation (I8)
80% 67
0.27 IPS
 
Object Detection (F32)
100% 502
17.6 IPS
 
Object Detection (F16)
100% 518
18.2 IPS
 
Object Detection (I8)
52% 275
9.66 IPS
 
Face Detection (F32)
100% 681
7.83 IPS
 
Face Detection (F16)
100% 701
8.05 IPS
 
Face Detection (I8)
75% 270
3.10 IPS
 
Text Classification (F32)
98% 64
25.3 IPS
 
Text Classification (F16)
98% 60
23.9 IPS
 
Machine Translation (F32)
100% 428
66.0 IPS
 
Machine Translation (F16)
100% 430
66.3 IPS
 

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