Geekbench ML Score

3645
Core ML GPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64

Result Information

User karen_he
Upload Date June 11 2024 07:10 PM
Views 2

System Information

System Information
Operating System iOS 17.5.1
Model iPhone 15 Pro Max
Model IDiPhone16,2
Motherboard D84AP
CPU Information
Name Apple A17 Pro
Topology 1 Processor, 6 Cores
Identifier ARM
Base Frequency 3.78 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 7.44 GB
Inference Information
Framework Core ML
Backend GPU
Device Default

Inference Performance

Workload Accuracy Score
Image Classification (F32)
100% 1825
341.6 IPS
 
Image Classification (F16)
100% 1876
351.0 IPS
 
Image Classification (I8)
99% 1764
330.1 IPS
 
Image Segmentation (F32)
100% 1305
21.8 IPS
 
Image Segmentation (F16)
100% 1475
24.6 IPS
 
Image Segmentation (I8)
100% 1476
24.6 IPS
 
Pose Estimation (F32)
100% 14565
17.6 IPS
 
Pose Estimation (F16)
100% 15603
18.9 IPS
 
Pose Estimation (I8)
100% 15551
18.8 IPS
 
Object Detection (F32)
100% 1595
119.1 IPS
 
Object Detection (F16)
100% 1801
134.4 IPS
 
Object Detection (I8)
97% 2018
150.7 IPS
 
Face Detection (F32)
100% 6282
74.7 IPS
 
Face Detection (F16)
98% 8350
99.3 IPS
 
Face Detection (I8)
97% 8568
101.9 IPS
 
Depth Estimation (F32)
100% 12261
95.1 IPS
 
Depth Estimation (F16)
100% 13634
105.7 IPS
 
Depth Estimation (I8)
37% 12793
99.2 IPS
 
Style Transfer (F32)
100% 28547
37.6 IPS
 
Style Transfer (F16)
100% 35835
47.1 IPS
 
Style Transfer (I8)
100% 36444
47.9 IPS
 
Image Super-Resolution (F32)
100% 6669
238.2 IPS
 
Image Super-Resolution (F16)
100% 4572
163.3 IPS
 
Image Super-Resolution (I8)
100% 6348
226.7 IPS
 
Text Classification (F32)
100% 464
667.0 IPS
 
Text Classification (F16)
100% 507
728.4 IPS
 
Text Classification (I8)
96% 308
442.6 IPS
 
Machine Translation (F32)
100% 742
13.7 IPS
 
Machine Translation (F16)
100% 784
14.4 IPS
 
Machine Translation (I8)
99% 693
12.7 IPS
 

Compare

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