Geekbench ML Score

2060
Core ML GPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64

Result Information

Upload Date July 10 2024 08:19 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 GPU
Device Default

Inference Performance

Workload Accuracy Score
Image Classification (F32)
100% 591
110.7 IPS
 
Image Classification (F16)
100% 567
106.2 IPS
 
Image Classification (I8)
99% 632
118.3 IPS
 
Image Segmentation (F32)
100% 1158
19.3 IPS
 
Image Segmentation (F16)
100% 1191
19.9 IPS
 
Image Segmentation (I8)
100% 1188
19.8 IPS
 
Pose Estimation (F32)
100% 8663
10.5 IPS
 
Pose Estimation (F16)
100% 9806
11.9 IPS
 
Pose Estimation (I8)
100% 9537
11.5 IPS
 
Object Detection (F32)
100% 1069
79.8 IPS
 
Object Detection (F16)
100% 985
73.5 IPS
 
Object Detection (I8)
97% 1022
76.3 IPS
 
Face Detection (F32)
100% 3901
46.4 IPS
 
Face Detection (F16)
98% 4420
52.6 IPS
 
Face Detection (I8)
97% 4243
50.5 IPS
 
Depth Estimation (F32)
100% 5756
44.6 IPS
 
Depth Estimation (F16)
100% 6320
49.0 IPS
 
Depth Estimation (I8)
37% 5709
44.3 IPS
 
Style Transfer (F32)
100% 16561
21.8 IPS
 
Style Transfer (F16)
100% 19523
25.7 IPS
 
Style Transfer (I8)
100% 19365
25.5 IPS
 
Image Super-Resolution (F32)
100% 3061
109.3 IPS
 
Image Super-Resolution (F16)
100% 2906
103.8 IPS
 
Image Super-Resolution (I8)
100% 3151
112.5 IPS
 
Text Classification (F32)
100% 357
512.6 IPS
 
Text Classification (F16)
100% 355
510.4 IPS
 
Text Classification (I8)
96% 208
298.3 IPS
 
Machine Translation (F32)
100% 529
9.73 IPS
 
Machine Translation (F16)
100% 497
9.15 IPS
 
Machine Translation (I8)
99% 472
8.69 IPS
 

Compare

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