Geekbench ML Score

2746
Core ML GPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64

Result Information

Upload Date June 17 2024 04:31 PM
Views 1

System Information

System Information
Operating System iOS 17.5.1
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 5.50 GB
Inference Information
Framework Core ML
Backend GPU
Device Default

Inference Performance

Workload Accuracy Score
Image Classification (F32)
100% 1311
245.2 IPS
 
Image Classification (F16)
100% 1212
226.7 IPS
 
Image Classification (I8)
99% 1182
221.1 IPS
 
Image Segmentation (F32)
100% 1231
20.6 IPS
 
Image Segmentation (F16)
100% 1265
21.1 IPS
 
Image Segmentation (I8)
100% 1284
21.4 IPS
 
Pose Estimation (F32)
100% 11243
13.6 IPS
 
Pose Estimation (F16)
100% 12117
14.7 IPS
 
Pose Estimation (I8)
100% 12000
14.5 IPS
 
Object Detection (F32)
100% 1359
101.5 IPS
 
Object Detection (F16)
100% 1427
106.5 IPS
 
Object Detection (I8)
97% 1455
108.7 IPS
 
Face Detection (F32)
100% 5181
61.6 IPS
 
Face Detection (F16)
98% 5494
65.3 IPS
 
Face Detection (I8)
97% 5459
64.9 IPS
 
Depth Estimation (F32)
100% 8501
65.9 IPS
 
Depth Estimation (F16)
100% 9182
71.2 IPS
 
Depth Estimation (I8)
37% 8483
65.8 IPS
 
Style Transfer (F32)
100% 19785
26.0 IPS
 
Style Transfer (F16)
100% 22730
29.9 IPS
 
Style Transfer (I8)
100% 23406
30.8 IPS
 
Image Super-Resolution (F32)
100% 4717
168.4 IPS
 
Image Super-Resolution (F16)
100% 5067
181.0 IPS
 
Image Super-Resolution (I8)
100% 4389
156.7 IPS
 
Text Classification (F32)
100% 358
514.0 IPS
 
Text Classification (F16)
100% 356
511.5 IPS
 
Text Classification (I8)
96% 257
369.7 IPS
 
Machine Translation (F32)
100% 598
11.0 IPS
 
Machine Translation (F16)
100% 632
11.6 IPS
 
Machine Translation (I8)
99% 596
11.0 IPS
 

Compare

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