Google kukui
Geekbench AI Score
96
Single Precision Score
84
Half Precision Score
82
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | yopology |
| Upload Date | December 07 2024 06:50 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 13 |
| Model | Google kukui |
| Model ID | Google kukui |
| Motherboard | krane |
| Governor | schedutil |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 0 part 3337 revision 2 |
| Base Frequency | 1.99 GHz |
| Cluster 1 | 8 Cores @ 1.99 GHz |
| Memory Information | |
|---|---|
| Size | 3.13 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
76
14.1 IPS |
|
|
Image Classification (HP)
|
100% |
64
11.9 IPS |
|
|
Image Classification (Q)
|
99% |
62
11.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
84
1.37 IPS |
|
|
Image Segmentation (HP)
|
100% |
79
1.28 IPS |
|
|
Image Segmentation (Q)
|
98% |
78
1.27 IPS |
|
|
Pose Estimation (SP)
|
100% |
60
0.07 IPS |
|
|
Pose Estimation (HP)
|
100% |
45
0.05 IPS |
|
|
Pose Estimation (Q)
|
97% |
45
0.05 IPS |
|
|
Object Detection (SP)
|
100% |
63
4.97 IPS |
|
|
Object Detection (HP)
|
100% |
55
4.35 IPS |
|
|
Object Detection (Q)
|
86% |
53
4.24 IPS |
|
|
Face Detection (SP)
|
100% |
206
2.45 IPS |
|
|
Face Detection (HP)
|
100% |
188
2.24 IPS |
|
|
Face Detection (Q)
|
97% |
180
2.15 IPS |
|
|
Depth Estimation (SP)
|
100% |
126
0.97 IPS |
|
|
Depth Estimation (HP)
|
99% |
99
0.76 IPS |
|
|
Depth Estimation (Q)
|
62% |
78
0.75 IPS |
|
|
Style Transfer (SP)
|
100% |
251
0.32 IPS |
|
|
Style Transfer (HP)
|
100% |
234
0.30 IPS |
|
|
Style Transfer (Q)
|
98% |
234
0.30 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
87
3.23 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
71
2.62 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
70
2.60 IPS |
|
|
Text Classification (SP)
|
100% |
55
72.8 IPS |
|
|
Text Classification (HP)
|
100% |
54
72.2 IPS |
|
|
Text Classification (Q)
|
91% |
73
98.0 IPS |
|
|
Machine Translation (SP)
|
100% |
96
1.65 IPS |
|
|
Machine Translation (HP)
|
100% |
94
1.62 IPS |
|
|
Machine Translation (Q)
|
57% |
72
1.76 IPS |
