Geekbench ML Score

542
TensorFlow Lite GPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64

Result Information

Upload Date October 20 2024 11:47 PM
Views 3

System Information

System Information
Operating System iOS 15.8.3
Model iPod (7th generation)
Model IDiPod9,1
Motherboard N112AP
CPU Information
Name Apple A10 Fusion
Topology 1 Processor, 2 Cores
Identifier ARM
Base Frequency 1.63 GHz
L1 Instruction Cache64.0 KB x 1
L1 Data Cache64.0 KB x 1
L2 Cache3.00 MB x 1
Memory Information
Size 1.97 GB
Inference Information
Framework TensorFlow Lite
Backend GPU
Device

Inference Performance

Workload Accuracy Score
Image Classification (F32)
100% 543
58.2 IPS
 
Image Classification (F16)
100% 582
62.3 IPS
 
Image Classification (I8)
81% 227
24.3 IPS
 
Image Segmentation (F32)
100% 1136
7.01 IPS
 
Image Segmentation (F16)
100% 1846
11.4 IPS
 
Image Segmentation (I8)
89% 417
2.58 IPS
 
Pose Estimation (F32)
100% 498
2.01 IPS
 
Pose Estimation (F16)
100% 805
3.26 IPS
 
Pose Estimation (I8)
80% 88
0.36 IPS
 
Object Detection (F32)
100% 692
24.3 IPS
 
Object Detection (F16)
100% 895
31.4 IPS
 
Object Detection (I8)
52% 319
11.2 IPS
 
Face Detection (F32)
100% 1118
12.8 IPS
 
Face Detection (F16)
97% 1904
21.9 IPS
 
Face Detection (I8)
75% 296
3.40 IPS
 
Text Classification (F32)
100% 438
173.4 IPS
 
Text Classification (F16)
98% 588
232.7 IPS
 
Machine Translation (F32)
100% 361
55.7 IPS
 
Machine Translation (F16)
100% 357
55.0 IPS
 

Compare

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