Geekbench AI Score

721
Single Precision Score
28160
Half Precision Score
63470
Quantized Score
Geekbench AI 1.2.0 for Android AArch64

Result Information

Upload Date December 23 2024 10:15 PM
Views 14

System Information

AI Information
Framework TensorFlow Lite
Backend QNN
Device Qualcomm ARMv8
System Information
Operating System Android 15
Model asus ASUSAI2501C
Model IDasus ASUSAI2501C
Motherboard sun
Governorwalt
CPU Information
Name Qualcomm ARMv8
Topology 1 Processor, 8 Cores
Identifier ARM implementer 81 architecture 8 variant 3 part 1 revision 4
Base Frequency 3.53 GHz
Cluster 16 Cores @ 3.53 GHz
Cluster 22 Cores @ 4.32 GHz
Memory Information
Size 22.51 GB

AI Performance

Workload Accuracy Score
Image Classification (SP)
100% 453
84.2 IPS
 
Image Classification (HP)
100% 21507
4.00 KIPS
 
Image Classification (Q)
97% 50202
9.37 KIPS
 
Image Segmentation (SP)
100% 569
9.23 IPS
 
Image Segmentation (HP)
100% 14733
238.8 IPS
 
Image Segmentation (Q)
98% 43386
705.5 IPS
 
Pose Estimation (SP)
100% 736
0.86 IPS
 
Pose Estimation (HP)
100% 122360
142.8 IPS
 
Pose Estimation (Q)
98% 480016
561.8 IPS
 
Object Detection (SP)
100% 414
32.8 IPS
 
Object Detection (HP)
100% 20214
1.60 KIPS
 
Object Detection (Q)
85% 23865
1.92 KIPS
 
Face Detection (SP)
100% 1049
12.5 IPS
 
Face Detection (HP)
100% 44774
532.0 IPS
 
Face Detection (Q)
97% 161758
1.93 KIPS
 
Depth Estimation (SP)
100% 908
7.00 IPS
 
Depth Estimation (HP)
99% 85276
657.0 IPS
 
Depth Estimation (Q)
63% 149231
1.38 KIPS
 
Style Transfer (SP)
100% 1563
2.01 IPS
 
Style Transfer (HP)
98% 99101
127.8 IPS
 
Style Transfer (Q)
98% 497203
641.1 IPS
 
Image Super-Resolution (SP)
100% 488
18.0 IPS
 
Image Super-Resolution (HP)
100% 55685
2.06 KIPS
 
Image Super-Resolution (Q)
97% 135833
5.03 KIPS
 
Text Classification (SP)
100% 639
852.8 IPS
 
Text Classification (HP)
100% 3959
5.28 KIPS
 
Text Classification (Q)
93% 8200
11.0 KIPS
 
Machine Translation (SP)
100% 1047
18.0 IPS
 
Machine Translation (HP)
100% 4798
82.6 IPS
 
Machine Translation (Q)
56% 3181
82.0 IPS
 

Compare

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