Geekbench ML Score

4549
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for iOS AArch64

Result Information

Upload Date July 10 2024 08:14 PM
Views 1

System Information

System Information
Operating System iOS 17.5.1
Model iPhone 13
Model IDiPhone14,5
Motherboard D17AP
CPU Information
Name Apple A15 Bionic
Topology 1 Processor, 6 Cores
Identifier ARM
Base Frequency 3.23 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 3.54 GB
Inference Information
Framework Core ML
Backend Neural Engine
Device Default

Inference Performance

Workload Accuracy Score
Image Classification (F32)
100% 586
109.7 IPS
 
Image Classification (F16)
100% 4947
925.7 IPS
 
Image Classification (I8)
99% 4714
882.1 IPS
 
Image Segmentation (F32)
100% 1185
19.8 IPS
 
Image Segmentation (F16)
100% 1767
29.5 IPS
 
Image Segmentation (I8)
100% 1740
29.1 IPS
 
Pose Estimation (F32)
100% 9006
10.9 IPS
 
Pose Estimation (F16)
100% 73410
88.9 IPS
 
Pose Estimation (I8)
100% 61416
74.4 IPS
 
Object Detection (F32)
100% 1094
81.7 IPS
 
Object Detection (F16)
100% 3259
243.3 IPS
 
Object Detection (I8)
97% 967
72.2 IPS
 
Face Detection (F32)
100% 3950
47.0 IPS
 
Face Detection (F16)
97% 9717
115.5 IPS
 
Face Detection (I8)
96% 9755
116.0 IPS
 
Depth Estimation (F32)
100% 5510
42.7 IPS
 
Depth Estimation (F16)
100% 32674
253.4 IPS
 
Depth Estimation (I8)
37% 38691
300.1 IPS
 
Style Transfer (F32)
100% 16709
22.0 IPS
 
Style Transfer (F16)
100% 97436
128.2 IPS
 
Style Transfer (I8)
100% 98959
130.2 IPS
 
Image Super-Resolution (F32)
100% 2579
92.1 IPS
 
Image Super-Resolution (F16)
100% 13659
487.8 IPS
 
Image Super-Resolution (I8)
100% 13894
496.2 IPS
 
Text Classification (F32)
100% 358
513.8 IPS
 
Text Classification (F16)
100% 823
1.18 KIPS
 
Text Classification (I8)
96% 493
708.3 IPS
 
Machine Translation (F32)
100% 493
9.07 IPS
 
Machine Translation (F16)
100% 1136
20.9 IPS
 
Machine Translation (I8)
99% 470
8.64 IPS
 

Compare

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