Google corsola
Geekbench AI Score
459
Single Precision Score
458
Half Precision Score
853
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 27 2025 11:36 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 13 |
| Model | Google corsola |
| Model ID | Google corsola |
| Motherboard | kyogre |
| Governor | schedutil |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 3 part 3339 revision 0 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 6 Cores @ 2.00 GHz |
| Cluster 2 | 2 Cores @ 2.05 GHz |
| Memory Information | |
|---|---|
| Size | 3.14 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
204
37.9 IPS |
|
|
Image Classification (HP)
|
100% |
204
37.9 IPS |
|
|
Image Classification (Q)
|
100% |
582
108.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
253
4.10 IPS |
|
|
Image Segmentation (HP)
|
100% |
255
4.13 IPS |
|
|
Image Segmentation (Q)
|
98% |
644
10.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
1011
1.18 IPS |
|
|
Pose Estimation (HP)
|
100% |
1016
1.19 IPS |
|
|
Pose Estimation (Q)
|
84% |
1525
1.81 IPS |
|
|
Object Detection (SP)
|
100% |
206
16.4 IPS |
|
|
Object Detection (HP)
|
100% |
205
16.3 IPS |
|
|
Object Detection (Q)
|
83% |
578
46.7 IPS |
|
|
Face Detection (SP)
|
100% |
637
7.57 IPS |
|
|
Face Detection (HP)
|
100% |
636
7.56 IPS |
|
|
Face Detection (Q)
|
95% |
1329
15.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
835
6.43 IPS |
|
|
Depth Estimation (HP)
|
99% |
828
6.38 IPS |
|
|
Depth Estimation (Q)
|
64% |
1382
12.7 IPS |
|
|
Style Transfer (SP)
|
89% |
1740
2.26 IPS |
|
|
Style Transfer (HP)
|
89% |
1735
2.25 IPS |
|
|
Style Transfer (Q)
|
98% |
3504
4.52 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
429
15.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
428
15.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
832
30.8 IPS |
|
|
Text Classification (SP)
|
100% |
238
317.3 IPS |
|
|
Text Classification (HP)
|
100% |
237
316.1 IPS |
|
|
Text Classification (Q)
|
88% |
420
567.0 IPS |
|
|
Machine Translation (SP)
|
100% |
417
7.19 IPS |
|
|
Machine Translation (HP)
|
100% |
412
7.09 IPS |
|
|
Machine Translation (Q)
|
50% |
276
9.79 IPS |
