Geekbench ML Score

2739
TensorFlow Lite Core ML Inference Score
Geekbench ML 0.5.2 for iOS AArch64

Result Information

Upload Date August 31 2024 03:21 PM
Views 1

System Information

System Information
Operating System iOS 15.0.1
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 Core ML
Device

Inference Performance

Workload Accuracy Score
Image Classification (F32)
100% 5285
566.3 IPS
 
Image Classification (F16)
100% 5275
565.1 IPS
 
Image Classification (I8)
81% 694
74.4 IPS
 
Image Segmentation (F32)
100% 2212
13.7 IPS
 
Image Segmentation (F16)
100% 2177
13.4 IPS
 
Image Segmentation (I8)
89% 1239
7.65 IPS
 
Pose Estimation (F32)
100% 22757
92.1 IPS
 
Pose Estimation (F16)
100% 22090
89.4 IPS
 
Pose Estimation (I8)
80% 240
0.97 IPS
 
Object Detection (F32)
100% 7426
260.6 IPS
 
Object Detection (F16)
100% 7482
262.6 IPS
 
Object Detection (I8)
52% 991
34.8 IPS
 
Face Detection (F32)
100% 7874
90.5 IPS
 
Face Detection (F16)
100% 7840
90.1 IPS
 
Face Detection (I8)
75% 935
10.7 IPS
 
Text Classification (F32)
100% 1106
437.5 IPS
 
Text Classification (F16)
100% 1102
435.7 IPS
 
Machine Translation (F32)
100% 1957
301.7 IPS
 
Machine Translation (F16)
100% 1960
302.1 IPS
 

Compare

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