Geekbench ML Score

682
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64

Result Information

User M91
Upload Date June 10 2023 08:28 AM
Views 2

System Information

System Information
Operating System iOS 16.6
Model iPad Pro 11-inch (2nd generation)
Model IDiPad8,10
Motherboard J418AP
CPU Information
Name Apple A12Z Bionic
Topology 1 Processor, 8 Cores
Identifier ARM
Base Frequency 2.49 GHz
L1 Instruction Cache48.0 KB x 1
L1 Data Cache32.0 KB x 1
L2 Cache2.00 MB x 1
Memory Information
Size 5.56 GB
Inference Information
Framework TensorFlow Lite
Backend CPU
Device

Inference Performance

Workload Accuracy Score
Image Classification (F32)
100% 659
70.6 IPS
 
Image Classification (F16)
100% 658
70.5 IPS
 
Image Classification (I8)
81% 218
23.4 IPS
 
Image Segmentation (F32)
100% 937
5.79 IPS
 
Image Segmentation (F16)
100% 935
5.78 IPS
 
Image Segmentation (I8)
89% 1214
7.50 IPS
 
Pose Estimation (F32)
100% 425
1.72 IPS
 
Pose Estimation (F16)
100% 440
1.78 IPS
 
Pose Estimation (I8)
80% 470
1.90 IPS
 
Object Detection (F32)
100% 994
34.9 IPS
 
Object Detection (F16)
100% 994
34.9 IPS
 
Object Detection (I8)
52% 391
13.7 IPS
 
Face Detection (F32)
100% 1200
13.8 IPS
 
Face Detection (F16)
100% 1191
13.7 IPS
 
Face Detection (I8)
75% 694
7.98 IPS
 
Text Classification (F32)
100% 463
183.0 IPS
 
Text Classification (F16)
100% 461
182.5 IPS
 
Machine Translation (F32)
100% 982
151.4 IPS
 
Machine Translation (F16)
100% 983
151.4 IPS
 

Compare

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