Geekbench ML Score

2332
TensorFlow Lite GPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64

Result Information

Upload Date March 10 2022 08:14 PM
Views 6

System Information

System Information
Operating System iOS 15.3.1
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 5.53 GB
Inference Information
Framework TensorFlow Lite
Backend GPU
Device

Inference Performance

Workload Accuracy Score
Image Classification (F32)
100% 2842
304.5 IPS
 
Image Classification (F16)
100% 4438
475.6 IPS
 
Image Classification (I8)
81% 692
74.1 IPS
 
Image Segmentation (F32)
100% 5887
36.4 IPS
 
Image Segmentation (F16)
100% 8323
51.4 IPS
 
Image Segmentation (I8)
89% 1269
7.84 IPS
 
Pose Estimation (F32)
100% 1911
7.73 IPS
 
Pose Estimation (F16)
100% 4891
19.8 IPS
 
Pose Estimation (I8)
80% 240
0.97 IPS
 
Object Detection (F32)
100% 3272
114.8 IPS
 
Object Detection (F16)
100% 3368
118.2 IPS
 
Object Detection (I8)
52% 993
34.9 IPS
 
Face Detection (F32)
100% 5106
58.7 IPS
 
Face Detection (F16)
97% 9251
106.3 IPS
 
Face Detection (I8)
75% 963
11.1 IPS
 
Text Classification (F32)
100% 1924
761.1 IPS
 
Text Classification (F16)
100% 2171
858.5 IPS
 
Machine Translation (F32)
100% 1959
301.9 IPS
 
Machine Translation (F16)
100% 1961
302.2 IPS
 

Compare

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