Geekbench ML Score

2756
Core ML GPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64

Result Information

Upload Date February 12 2024 05:24 PM
Views 1

System Information

System Information
Operating System iOS 17.3.1
Model iPhone 14 Pro Max
Model IDiPhone15,3
Motherboard D74AP
CPU Information
Name Apple A16 Bionic
Topology 1 Processor, 6 Cores
Identifier ARM
Base Frequency 3.46 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 5.49 GB
Inference Information
Framework Core ML
Backend GPU
Device Default

Inference Performance

Workload Accuracy Score
Image Classification (F32)
100% 1183
221.5 IPS
 
Image Classification (F16)
100% 1041
194.8 IPS
 
Image Classification (I8)
99% 1306
244.4 IPS
 
Image Segmentation (F32)
100% 1154
19.3 IPS
 
Image Segmentation (F16)
100% 1203
20.1 IPS
 
Image Segmentation (I8)
100% 1201
20.1 IPS
 
Pose Estimation (F32)
100% 11046
13.4 IPS
 
Pose Estimation (F16)
100% 11515
13.9 IPS
 
Pose Estimation (I8)
100% 11922
14.4 IPS
 
Object Detection (F32)
100% 1305
97.5 IPS
 
Object Detection (F16)
100% 1371
102.4 IPS
 
Object Detection (I8)
97% 1415
105.7 IPS
 
Face Detection (F32)
100% 4917
58.5 IPS
 
Face Detection (F16)
97% 5603
66.6 IPS
 
Face Detection (I8)
96% 5549
66.0 IPS
 
Depth Estimation (F32)
100% 8426
65.3 IPS
 
Depth Estimation (F16)
100% 9062
70.3 IPS
 
Depth Estimation (I8)
37% 8418
65.3 IPS
 
Style Transfer (F32)
100% 19810
26.1 IPS
 
Style Transfer (F16)
100% 22410
29.5 IPS
 
Style Transfer (I8)
100% 23167
30.5 IPS
 
Image Super-Resolution (F32)
100% 4086
145.9 IPS
 
Image Super-Resolution (F16)
100% 4349
155.3 IPS
 
Image Super-Resolution (I8)
100% 4401
157.2 IPS
 
Text Classification (F32)
100% 565
812.1 IPS
 
Text Classification (F16)
100% 381
547.9 IPS
 
Text Classification (I8)
96% 410
590.0 IPS
 
Machine Translation (F32)
100% 604
11.1 IPS
 
Machine Translation (F16)
100% 635
11.7 IPS
 
Machine Translation (I8)
99% 589
10.8 IPS
 

Compare

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