Geekbench ML Score

3629
Core ML GPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64

Result Information

Upload Date May 16 2024 02:49 AM
Views 1

System Information

System Information
Operating System iOS 17.5
Model iPhone 15 Pro
Model IDiPhone16,1
Motherboard D83AP
CPU Information
Name Apple A17 Pro
Topology 1 Processor, 6 Cores
Identifier ARM
Base Frequency 3.78 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 7.47 GB
Inference Information
Framework Core ML
Backend GPU
Device Default

Inference Performance

Workload Accuracy Score
Image Classification (F32)
100% 1207
225.9 IPS
 
Image Classification (F16)
100% 1653
309.2 IPS
 
Image Classification (I8)
99% 1715
320.9 IPS
 
Image Segmentation (F32)
100% 1480
24.7 IPS
 
Image Segmentation (F16)
100% 1624
27.1 IPS
 
Image Segmentation (I8)
100% 1599
26.7 IPS
 
Pose Estimation (F32)
100% 14657
17.7 IPS
 
Pose Estimation (F16)
100% 15815
19.2 IPS
 
Pose Estimation (I8)
100% 15400
18.6 IPS
 
Object Detection (F32)
100% 1548
115.6 IPS
 
Object Detection (F16)
100% 1569
117.1 IPS
 
Object Detection (I8)
97% 1497
111.7 IPS
 
Face Detection (F32)
100% 6536
77.7 IPS
 
Face Detection (F16)
98% 8369
99.5 IPS
 
Face Detection (I8)
97% 8594
102.2 IPS
 
Depth Estimation (F32)
100% 12227
94.8 IPS
 
Depth Estimation (F16)
100% 13869
107.6 IPS
 
Depth Estimation (I8)
37% 12729
98.7 IPS
 
Style Transfer (F32)
100% 28366
37.3 IPS
 
Style Transfer (F16)
100% 31544
41.5 IPS
 
Style Transfer (I8)
100% 31810
41.8 IPS
 
Image Super-Resolution (F32)
100% 6913
246.9 IPS
 
Image Super-Resolution (F16)
100% 7662
273.6 IPS
 
Image Super-Resolution (I8)
100% 7048
251.7 IPS
 
Text Classification (F32)
100% 445
638.9 IPS
 
Text Classification (F16)
100% 645
926.7 IPS
 
Text Classification (I8)
96% 299
430.3 IPS
 
Machine Translation (F32)
100% 743
13.7 IPS
 
Machine Translation (F16)
100% 787
14.5 IPS
 
Machine Translation (I8)
99% 674
12.4 IPS
 

Compare

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