Geekbench ML Score

3549
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64

Result Information

Upload Date August 01 2024 07:59 PM
Views 1

System Information

System Information
Operating System iOS 17.5.1
Model iPhone 14 Pro Max
Model IDiPhone15,3
Motherboard D74AP
CPU Information
Name Apple A16 Bionic
Topology 1 Processor, 6 Cores
Identifier ARM
Base Frequency 3.46 GHz
Cluster 12 Cores
Cluster 24 Cores
L1 Instruction Cache128 KB x 1
L1 Data Cache64.0 KB x 1
L2 Cache4.00 MB x 1
Memory Information
Size 5.48 GB
Inference Information
Framework Core ML
Backend CPU
Device Default

Inference Performance

Workload Accuracy Score
Image Classification (F32)
100% 1434
268.4 IPS
 
Image Classification (F16)
100% 1864
348.9 IPS
 
Image Classification (I8)
99% 1880
351.8 IPS
 
Image Segmentation (F32)
100% 767
12.8 IPS
 
Image Segmentation (F16)
100% 771
12.9 IPS
 
Image Segmentation (I8)
100% 804
13.4 IPS
 
Pose Estimation (F32)
100% 6253
7.57 IPS
 
Pose Estimation (F16)
100% 14277
17.3 IPS
 
Pose Estimation (I8)
100% 14137
17.1 IPS
 
Object Detection (F32)
100% 1446
108.0 IPS
 
Object Detection (F16)
100% 2003
149.5 IPS
 
Object Detection (I8)
97% 1453
108.5 IPS
 
Face Detection (F32)
100% 2725
32.4 IPS
 
Face Detection (F16)
97% 4379
52.1 IPS
 
Face Detection (I8)
97% 4389
52.2 IPS
 
Depth Estimation (F32)
100% 5598
43.4 IPS
 
Depth Estimation (F16)
100% 8752
67.9 IPS
 
Depth Estimation (I8)
99% 8749
67.9 IPS
 
Style Transfer (F32)
100% 17482
23.0 IPS
 
Style Transfer (F16)
100% 26375
34.7 IPS
 
Style Transfer (I8)
100% 26356
34.7 IPS
 
Image Super-Resolution (F32)
100% 4028
143.9 IPS
 
Image Super-Resolution (F16)
100% 5280
188.6 IPS
 
Image Super-Resolution (I8)
100% 5088
181.7 IPS
 
Text Classification (F32)
100% 2361
3.39 KIPS
 
Text Classification (F16)
100% 3941
5.66 KIPS
 
Text Classification (I8)
96% 3946
5.67 KIPS
 
Machine Translation (F32)
100% 1239
22.8 IPS
 
Machine Translation (F16)
100% 1530
28.1 IPS
 
Machine Translation (I8)
99% 1229
22.6 IPS
 

Compare

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