Geekbench ML Score

860
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64

Result Information

Upload Date February 11 2025 04:35 AM
Views 5

System Information

System Information
Operating System iOS 16.2
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 5.49 GB
Inference Information
Framework Core ML
Backend CPU
Device Default

Inference Performance

Workload Accuracy Score
Image Classification (F32)
100% 381
71.3 IPS
 
Image Classification (F16)
100% 395
73.9 IPS
 
Image Classification (I8)
99% 396
74.2 IPS
 
Image Segmentation (F32)
100% 294
4.90 IPS
 
Image Segmentation (F16)
100% 254
4.25 IPS
 
Image Segmentation (I8)
100% 254
4.24 IPS
 
Pose Estimation (F32)
100% 2354
2.85 IPS
 
Pose Estimation (F16)
100% 4324
5.24 IPS
 
Pose Estimation (I8)
100% 4337
5.25 IPS
 
Object Detection (F32)
100% 439
32.8 IPS
 
Object Detection (F16)
100% 452
33.8 IPS
 
Object Detection (I8)
97% 446
33.3 IPS
 
Face Detection (F32)
100% 854
10.2 IPS
 
Face Detection (F16)
100% 735
8.74 IPS
 
Face Detection (I8)
99% 742
8.82 IPS
 
Depth Estimation (F32)
100% 1476
11.4 IPS
 
Depth Estimation (F16)
99% 1641
12.7 IPS
 
Depth Estimation (I8)
99% 1623
12.6 IPS
 
Style Transfer (F32)
100% 4435
5.83 IPS
 
Style Transfer (F16)
100% 5275
6.94 IPS
 
Style Transfer (I8)
100% 5235
6.89 IPS
 
Image Super-Resolution (F32)
100% 1032
36.8 IPS
 
Image Super-Resolution (F16)
100% 1143
40.8 IPS
 
Image Super-Resolution (I8)
100% 1144
40.9 IPS
 
Text Classification (F32)
100% 459
659.8 IPS
 
Text Classification (F16)
100% 225
323.0 IPS
 
Text Classification (I8)
96% 308
442.5 IPS
 
Machine Translation (F32)
100% 569
10.5 IPS
 
Machine Translation (F16)
99% 780
14.4 IPS
 
Machine Translation (I8)
99% 587
10.8 IPS
 

Compare

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