Geekbench ML Score

1399
TensorFlow Lite CPU Inference Score
Geekbench ML 0.6.0 for Android AArch64

Result Information

Upload Date March 12 2025 06:16 AM
Views 4

System Information

System Information
Operating System Android 15
Model vivo V2417A
Model IDvivo V2417A
Motherboard k6989v1_64
CPU Information
Name ARM ARMv8
Topology 1 Processor, 8 Cores
Identifier ARM implementer 65 architecture 8 variant 0 part 3458 revision 1
Base Frequency 2.00 GHz
Cluster 14 Cores @ 2.00 GHz
Cluster 23 Cores @ 2.85 GHz
Cluster 31 Core @ 3.40 GHz
Memory Information
Size 11.06 GB
Inference Information
Framework TensorFlow Lite
Backend CPU
Device Default

Inference Performance

Workload Accuracy Score
Image Classification (F32)
100% 913
170.8 IPS
 
Image Classification (F16)
100% 899
168.3 IPS
 
Image Classification (I8)
97% 1517
283.9 IPS
 
Image Segmentation (F32)
100% 1153
19.3 IPS
 
Image Segmentation (F16)
100% 1153
19.3 IPS
 
Image Segmentation (I8)
98% 1320
22.0 IPS
 
Pose Estimation (F32)
100% 1438
1.74 IPS
 
Pose Estimation (F16)
100% 1412
1.71 IPS
 
Pose Estimation (I8)
100% 6192
7.50 IPS
 
Object Detection (F32)
100% 775
57.8 IPS
 
Object Detection (F16)
100% 776
57.9 IPS
 
Object Detection (I8)
61% 1344
100.3 IPS
 
Face Detection (F32)
100% 1738
20.7 IPS
 
Face Detection (F16)
100% 1748
20.8 IPS
 
Face Detection (I8)
86% 2566
30.5 IPS
 
Depth Estimation (F32)
100% 1503
11.7 IPS
 
Depth Estimation (F16)
100% 1511
11.7 IPS
 
Depth Estimation (I8)
95% 2608
20.2 IPS
 
Style Transfer (F32)
100% 2244
2.95 IPS
 
Style Transfer (F16)
100% 2158
2.84 IPS
 
Style Transfer (I8)
98% 4905
6.45 IPS
 
Image Super-Resolution (F32)
100% 950
33.9 IPS
 
Image Super-Resolution (F16)
100% 955
34.1 IPS
 
Image Super-Resolution (I8)
98% 2556
91.3 IPS
 
Text Classification (F32)
100% 850
1.22 KIPS
 
Text Classification (F16)
100% 787
1.13 KIPS
 
Text Classification (I8)
92% 573
823.6 IPS
 
Machine Translation (F32)
100% 1451
26.7 IPS
 
Machine Translation (F16)
100% 1416
26.1 IPS
 
Machine Translation (I8)
64% 538
9.90 IPS
 

Compare

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