Geekbench ML Score

704
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64

Result Information

Upload Date May 31 2023 03:43 AM
Views 1

System Information

System Information
Operating System iOS 16.5
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% 451
48.4 IPS
 
Image Classification (F16)
100% 486
52.1 IPS
 
Image Classification (I8)
81% 807
86.4 IPS
 
Image Segmentation (F32)
100% 598
3.70 IPS
 
Image Segmentation (F16)
100% 600
3.71 IPS
 
Image Segmentation (I8)
89% 1430
8.83 IPS
 
Pose Estimation (F32)
100% 242
0.98 IPS
 
Pose Estimation (F16)
100% 328
1.33 IPS
 
Pose Estimation (I8)
80% 385
1.56 IPS
 
Object Detection (F32)
100% 719
25.2 IPS
 
Object Detection (F16)
100% 703
24.7 IPS
 
Object Detection (I8)
52% 984
34.5 IPS
 
Face Detection (F32)
100% 829
9.52 IPS
 
Face Detection (F16)
100% 859
9.87 IPS
 
Face Detection (I8)
75% 1123
12.9 IPS
 
Text Classification (F32)
100% 1134
448.5 IPS
 
Text Classification (F16)
100% 1097
434.1 IPS
 
Machine Translation (F32)
100% 970
149.4 IPS
 
Machine Translation (F16)
100% 963
148.5 IPS
 

Compare

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