Geekbench ML Score

408
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64

Result Information

Upload Date August 12 2023 02:55 PM
Views 1

System Information

System Information
Operating System iOS 17.0
Model iPhone XS
Model IDiPhone11,2
Motherboard D321AP
CPU Information
Name Apple A12 Bionic
Topology 1 Processor, 6 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 3.69 GB
Inference Information
Framework TensorFlow Lite
Backend CPU
Device

Inference Performance

Workload Accuracy Score
Image Classification (F32)
100% 326
34.9 IPS
 
Image Classification (F16)
100% 323
34.6 IPS
 
Image Classification (I8)
81% 195
20.9 IPS
 
Image Segmentation (F32)
100% 513
3.17 IPS
 
Image Segmentation (F16)
100% 531
3.28 IPS
 
Image Segmentation (I8)
89% 755
4.66 IPS
 
Pose Estimation (F32)
100% 146
0.59 IPS
 
Pose Estimation (F16)
100% 146
0.59 IPS
 
Pose Estimation (I8)
80% 187
0.76 IPS
 
Object Detection (F32)
100% 464
16.3 IPS
 
Object Detection (F16)
100% 463
16.3 IPS
 
Object Detection (I8)
52% 449
15.8 IPS
 
Face Detection (F32)
100% 603
6.93 IPS
 
Face Detection (F16)
100% 603
6.92 IPS
 
Face Detection (I8)
75% 504
5.79 IPS
 
Text Classification (F32)
100% 549
217.2 IPS
 
Text Classification (F16)
100% 547
216.3 IPS
 
Machine Translation (F32)
100% 677
104.3 IPS
 
Machine Translation (F16)
100% 669
103.1 IPS
 

Compare

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