Geekbench ML Score

927
Core ML GPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64

Result Information

Upload Date September 29 2024 03:51 PM
Views 1

System Information

System Information
Operating System iOS 17.7
Model iPhone 11 Pro
Model IDiPhone12,3
Motherboard D421AP
CPU Information
Name Apple A13 Bionic
Topology 1 Processor, 6 Cores
Identifier ARM
Base Frequency 2.66 GHz
Cluster 12 Cores
Cluster 24 Cores
L1 Instruction Cache96.0 KB x 1
L1 Data Cache48.0 KB x 1
L2 Cache4.00 MB x 1
Memory Information
Size 3.68 GB
Inference Information
Framework Core ML
Backend GPU
Device Default

Inference Performance

Workload Accuracy Score
Image Classification (F32)
100% 284
53.2 IPS
 
Image Classification (F16)
100% 355
66.4 IPS
 
Image Classification (I8)
99% 339
63.3 IPS
 
Image Segmentation (F32)
100% 223
3.73 IPS
 
Image Segmentation (F16)
100% 250
4.17 IPS
 
Image Segmentation (I8)
100% 252
4.22 IPS
 
Pose Estimation (F32)
100% 2259
2.74 IPS
 
Pose Estimation (F16)
100% 3024
3.66 IPS
 
Pose Estimation (I8)
100% 3044
3.69 IPS
 
Object Detection (F32)
100% 498
37.2 IPS
 
Object Detection (F16)
100% 535
39.9 IPS
 
Object Detection (I8)
97% 508
37.9 IPS
 
Face Detection (F32)
100% 2380
28.3 IPS
 
Face Detection (F16)
98% 3075
36.6 IPS
 
Face Detection (I8)
97% 3105
36.9 IPS
 
Depth Estimation (F32)
100% 2512
19.5 IPS
 
Depth Estimation (F16)
100% 3572
27.7 IPS
 
Depth Estimation (I8)
99% 3447
26.7 IPS
 
Style Transfer (F32)
100% 5928
7.80 IPS
 
Style Transfer (F16)
100% 8220
10.8 IPS
 
Style Transfer (I8)
100% 8204
10.8 IPS
 
Image Super-Resolution (F32)
100% 1119
40.0 IPS
 
Image Super-Resolution (F16)
100% 1180
42.1 IPS
 
Image Super-Resolution (I8)
100% 1121
40.0 IPS
 
Text Classification (F32)
100% 230
331.1 IPS
 
Text Classification (F16)
100% 295
424.4 IPS
 
Text Classification (I8)
96% 299
430.1 IPS
 
Machine Translation (F32)
100% 214
3.95 IPS
 
Machine Translation (F16)
100% 198
3.65 IPS
 
Machine Translation (I8)
99% 214
3.94 IPS
 

Compare

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