Google kukui
Geekbench AI Score
317
Single Precision Score
322
Half Precision Score
365
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | yopology |
| Upload Date | December 07 2024 03:49 PM |
| Views | 17 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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% |
162
30.2 IPS |
|
|
Image Classification (HP)
|
100% |
157
29.2 IPS |
|
|
Image Classification (Q)
|
100% |
247
46.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
209
3.39 IPS |
|
|
Image Segmentation (HP)
|
100% |
203
3.29 IPS |
|
|
Image Segmentation (Q)
|
98% |
341
5.55 IPS |
|
|
Pose Estimation (SP)
|
100% |
753
0.88 IPS |
|
|
Pose Estimation (HP)
|
100% |
752
0.88 IPS |
|
|
Pose Estimation (Q)
|
84% |
581
0.69 IPS |
|
|
Object Detection (SP)
|
100% |
157
12.5 IPS |
|
|
Object Detection (HP)
|
100% |
162
12.9 IPS |
|
|
Object Detection (Q)
|
83% |
248
20.0 IPS |
|
|
Face Detection (SP)
|
100% |
397
4.71 IPS |
|
|
Face Detection (HP)
|
100% |
407
4.84 IPS |
|
|
Face Detection (Q)
|
95% |
617
7.37 IPS |
|
|
Depth Estimation (SP)
|
100% |
513
3.95 IPS |
|
|
Depth Estimation (HP)
|
99% |
527
4.06 IPS |
|
|
Depth Estimation (Q)
|
64% |
585
5.36 IPS |
|
|
Style Transfer (SP)
|
89% |
1327
1.72 IPS |
|
|
Style Transfer (HP)
|
89% |
1355
1.76 IPS |
|
|
Style Transfer (Q)
|
98% |
1556
2.01 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
283
10.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
282
10.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
344
12.7 IPS |
|
|
Text Classification (SP)
|
100% |
142
190.1 IPS |
|
|
Text Classification (HP)
|
100% |
159
212.9 IPS |
|
|
Text Classification (Q)
|
88% |
184
248.3 IPS |
|
|
Machine Translation (SP)
|
100% |
243
4.18 IPS |
|
|
Machine Translation (HP)
|
100% |
239
4.12 IPS |
|
|
Machine Translation (Q)
|
50% |
99
3.51 IPS |
