Geekbench ML Score

1046
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64

Result Information

Upload Date October 03 2023 06:02 AM
Views 2

System Information

System Information
Operating System iOS 17.0.2
Model iPhone 13 Pro Max
Model IDiPhone14,3
Motherboard D64AP
CPU Information
Name Apple A15 Bionic
Topology 1 Processor, 6 Cores
Identifier ARM
Base Frequency 3.23 GHz
L1 Instruction Cache128 KB x 1
L1 Data Cache64.0 KB x 1
L2 Cache4.00 MB x 1
Memory Information
Size 5.49 GB
Inference Information
Framework TensorFlow Lite
Backend CPU
Device

Inference Performance

Workload Accuracy Score
Image Classification (F32)
100% 821
87.9 IPS
 
Image Classification (F16)
100% 785
84.1 IPS
 
Image Classification (I8)
81% 438
47.0 IPS
 
Image Segmentation (F32)
100% 1105
6.83 IPS
 
Image Segmentation (F16)
100% 1094
6.76 IPS
 
Image Segmentation (I8)
89% 1444
8.92 IPS
 
Pose Estimation (F32)
100% 419
1.69 IPS
 
Pose Estimation (F16)
100% 416
1.69 IPS
 
Pose Estimation (I8)
80% 476
1.92 IPS
 
Object Detection (F32)
100% 1127
39.6 IPS
 
Object Detection (F16)
100% 1157
40.6 IPS
 
Object Detection (I8)
52% 758
26.6 IPS
 
Face Detection (F32)
100% 1378
15.8 IPS
 
Face Detection (F16)
100% 1372
15.8 IPS
 
Face Detection (I8)
75% 831
9.54 IPS
 
Text Classification (F32)
100% 2692
1.06 KIPS
 
Text Classification (F16)
100% 3065
1.21 KIPS
 
Machine Translation (F32)
100% 2122
327.1 IPS
 
Machine Translation (F16)
100% 2124
327.4 IPS
 

Compare

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