Geekbench AI Score

1710
Single Precision Score
1706
Half Precision Score
2106
Quantized Score
Geekbench AI 1.1.0 for Android AArch64

Result Information

Upload Date November 19 2024 07:42 PM
Views 1

System Information

AI Information
Framework TensorFlow Lite
Backend CPU
Device ARM ARMv8
System Information
Operating System Android 15
Model OPPO CPH2659
Model IDOPPO CPH2659
Motherboard k6991v1_64
CPU Information
Name ARM ARMv8
Topology 1 Processor, 8 Cores
Identifier ARM implementer 65 architecture 8 variant 0 part 3461 revision 1
Base Frequency 2.40 GHz
Cluster 14 Cores @ 2.40 GHz
Cluster 23 Cores @ 3.30 GHz
Cluster 31 Core @ 3.63 GHz
Memory Information
Size 15.03 GB

AI Performance

Workload Accuracy Score
Image Classification (SP)
100% 1214
225.7 IPS
 
Image Classification (HP)
100% 1151
214.1 IPS
 
Image Classification (Q)
100% 1782
331.4 IPS
 
Image Segmentation (SP)
100% 1470
23.8 IPS
 
Image Segmentation (HP)
100% 1516
24.6 IPS
 
Image Segmentation (Q)
98% 2056
33.4 IPS
 
Pose Estimation (SP)
100% 2693
3.14 IPS
 
Pose Estimation (HP)
100% 2558
2.99 IPS
 
Pose Estimation (Q)
84% 4849
5.75 IPS
 
Object Detection (SP)
98% 998
79.5 IPS
 
Object Detection (HP)
98% 1023
81.4 IPS
 
Object Detection (Q)
83% 1392
112.4 IPS
 
Face Detection (SP)
100% 2416
28.7 IPS
 
Face Detection (HP)
100% 2404
28.6 IPS
 
Face Detection (Q)
95% 3188
38.1 IPS
 
Depth Estimation (SP)
99% 3004
23.2 IPS
 
Depth Estimation (HP)
99% 2994
23.1 IPS
 
Depth Estimation (Q)
64% 3828
35.1 IPS
 
Style Transfer (SP)
89% 5974
7.75 IPS
 
Style Transfer (HP)
89% 6035
7.83 IPS
 
Style Transfer (Q)
98% 10735
13.8 IPS
 
Image Super-Resolution (SP)
100% 1319
48.7 IPS
 
Image Super-Resolution (HP)
100% 1342
49.5 IPS
 
Image Super-Resolution (Q)
97% 2033
75.3 IPS
 
Text Classification (SP)
100% 548
732.1 IPS
 
Text Classification (HP)
99% 538
718.3 IPS
 
Text Classification (Q)
88% 664
895.9 IPS
 
Machine Translation (SP)
100% 1423
24.5 IPS
 
Machine Translation (HP)
100% 1462
25.2 IPS
 
Machine Translation (Q)
50% 393
13.9 IPS
 

Compare

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