Geekbench ML Score

6351
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for iOS AArch64

Result Information

Upload Date June 17 2024 04:26 PM
Views 2

System Information

System Information
Operating System iOS 18.0
Model iPhone 14 Pro
Model IDiPhone15,2
Motherboard D73AP
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 5.53 GB
Inference Information
Framework Core ML
Backend Neural Engine
Device Default

Inference Performance

Workload Accuracy Score
Image Classification (F32)
100% 1056
197.6 IPS
 
Image Classification (F16)
100% 5429
1.02 KIPS
 
Image Classification (I8)
99% 5915
1.11 KIPS
 
Image Segmentation (F32)
100% 1222
20.4 IPS
 
Image Segmentation (F16)
100% 1718
28.7 IPS
 
Image Segmentation (I8)
100% 1761
29.4 IPS
 
Pose Estimation (F32)
100% 11564
14.0 IPS
 
Pose Estimation (F16)
100% 77946
94.4 IPS
 
Pose Estimation (I8)
100% 80753
97.8 IPS
 
Object Detection (F32)
100% 1348
100.6 IPS
 
Object Detection (F16)
100% 4037
301.4 IPS
 
Object Detection (I8)
97% 1386
103.5 IPS
 
Face Detection (F32)
100% 5033
59.8 IPS
 
Face Detection (F16)
97% 11789
140.2 IPS
 
Face Detection (I8)
96% 11760
139.8 IPS
 
Depth Estimation (F32)
100% 8755
67.9 IPS
 
Depth Estimation (F16)
100% 33460
259.5 IPS
 
Depth Estimation (I8)
37% 34352
266.4 IPS
 
Style Transfer (F32)
100% 21182
27.9 IPS
 
Style Transfer (F16)
100% 109861
144.5 IPS
 
Style Transfer (I8)
100% 110885
145.9 IPS
 
Image Super-Resolution (F32)
100% 4302
153.6 IPS
 
Image Super-Resolution (F16)
100% 17277
617.0 IPS
 
Image Super-Resolution (I8)
100% 17501
625.0 IPS
 
Text Classification (F32)
100% 2453
3.53 KIPS
 
Text Classification (F16)
100% 3059
4.40 KIPS
 
Text Classification (I8)
96% 3119
4.48 KIPS
 
Machine Translation (F32)
100% 556
10.2 IPS
 
Machine Translation (F16)
100% 1039
19.1 IPS
 
Machine Translation (I8)
99% 556
10.2 IPS
 

Compare

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