Geekbench ML Score

3256
Core ML GPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64

Result Information

Upload Date June 26 2025 05:22 AM
Views 3

System Information

System Information
Operating System iOS 18.5
Model iPhone 14 Plus
Model IDiPhone14,8
Motherboard D28AP
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 5.55 GB
Inference Information
Framework Core ML
Backend GPU
Device Default

Inference Performance

Workload Accuracy Score
Image Classification (F32)
100% 687
128.6 IPS
 
Image Classification (F16)
100% 727
136.1 IPS
 
Image Classification (I8)
99% 912
170.6 IPS
 
Image Segmentation (F32)
100% 1371
22.9 IPS
 
Image Segmentation (F16)
100% 1407
23.5 IPS
 
Image Segmentation (I8)
100% 1422
23.8 IPS
 
Pose Estimation (F32)
100% 10784
13.1 IPS
 
Pose Estimation (F16)
100% 12472
15.1 IPS
 
Pose Estimation (I8)
100% 12254
14.8 IPS
 
Object Detection (F32)
100% 1289
96.2 IPS
 
Object Detection (F16)
100% 1255
93.7 IPS
 
Object Detection (I8)
97% 1285
95.9 IPS
 
Face Detection (F32)
100% 4440
52.8 IPS
 
Face Detection (F16)
98% 3886
46.2 IPS
 
Face Detection (I8)
97% 5915
70.3 IPS
 
Depth Estimation (F32)
100% 8793
68.2 IPS
 
Depth Estimation (F16)
100% 8597
66.7 IPS
 
Depth Estimation (I8)
99% 9612
74.5 IPS
 
Style Transfer (F32)
100% 18650
24.5 IPS
 
Style Transfer (F16)
100% 23992
31.6 IPS
 
Style Transfer (I8)
100% 23435
30.8 IPS
 
Image Super-Resolution (F32)
100% 3756
134.1 IPS
 
Image Super-Resolution (F16)
100% 3895
139.1 IPS
 
Image Super-Resolution (I8)
100% 3813
136.2 IPS
 
Text Classification (F32)
100% 2282
3.28 KIPS
 
Text Classification (F16)
100% 3994
5.74 KIPS
 
Text Classification (I8)
96% 3870
5.56 KIPS
 
Machine Translation (F32)
100% 713
13.1 IPS
 
Machine Translation (F16)
100% 724
13.3 IPS
 
Machine Translation (I8)
99% 716
13.2 IPS
 

Compare

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