Geekbench ML Score

2358
Core ML GPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64

Result Information

Upload Date May 18 2024 09:44 AM
Views 1

System Information

System Information
Operating System iOS 17.5
Model iPhone 14
Model IDiPhone14,7
Motherboard D27AP
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 5.54 GB
Inference Information
Framework Core ML
Backend GPU
Device Default

Inference Performance

Workload Accuracy Score
Image Classification (F32)
100% 647
121.2 IPS
 
Image Classification (F16)
100% 1083
202.6 IPS
 
Image Classification (I8)
99% 1024
191.6 IPS
 
Image Segmentation (F32)
100% 1263
21.1 IPS
 
Image Segmentation (F16)
100% 1279
21.4 IPS
 
Image Segmentation (I8)
100% 1298
21.7 IPS
 
Pose Estimation (F32)
100% 10746
13.0 IPS
 
Pose Estimation (F16)
100% 11914
14.4 IPS
 
Pose Estimation (I8)
100% 11745
14.2 IPS
 
Object Detection (F32)
100% 1167
87.2 IPS
 
Object Detection (F16)
100% 1188
88.7 IPS
 
Object Detection (I8)
97% 1141
85.2 IPS
 
Face Detection (F32)
100% 4335
51.5 IPS
 
Face Detection (F16)
98% 3996
47.5 IPS
 
Face Detection (I8)
97% 3309
39.3 IPS
 
Depth Estimation (F32)
100% 7535
58.4 IPS
 
Depth Estimation (F16)
100% 8336
64.6 IPS
 
Depth Estimation (I8)
37% 7768
60.2 IPS
 
Style Transfer (F32)
100% 18994
25.0 IPS
 
Style Transfer (F16)
100% 23533
31.0 IPS
 
Style Transfer (I8)
100% 23592
31.0 IPS
 
Image Super-Resolution (F32)
100% 3195
114.1 IPS
 
Image Super-Resolution (F16)
100% 3563
127.3 IPS
 
Image Super-Resolution (I8)
100% 3557
127.0 IPS
 
Text Classification (F32)
100% 367
527.5 IPS
 
Text Classification (F16)
100% 366
525.6 IPS
 
Text Classification (I8)
96% 228
327.7 IPS
 
Machine Translation (F32)
100% 472
8.69 IPS
 
Machine Translation (F16)
100% 502
9.24 IPS
 
Machine Translation (I8)
99% 488
8.98 IPS
 

Compare

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