Google corsola
Geekbench AI Score
455
Single Precision Score
454
Half Precision Score
853
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | April 16 2025 07:39 AM |
| Views | 1 |
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 | veluza |
| 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% |
202
37.6 IPS |
|
|
Image Classification (HP)
|
100% |
203
37.7 IPS |
|
|
Image Classification (Q)
|
100% |
580
107.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
252
4.09 IPS |
|
|
Image Segmentation (HP)
|
100% |
252
4.08 IPS |
|
|
Image Segmentation (Q)
|
98% |
643
10.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
980
1.14 IPS |
|
|
Pose Estimation (HP)
|
100% |
1012
1.18 IPS |
|
|
Pose Estimation (Q)
|
84% |
1524
1.81 IPS |
|
|
Object Detection (SP)
|
100% |
207
16.4 IPS |
|
|
Object Detection (HP)
|
100% |
206
16.4 IPS |
|
|
Object Detection (Q)
|
83% |
580
46.9 IPS |
|
|
Face Detection (SP)
|
100% |
633
7.52 IPS |
|
|
Face Detection (HP)
|
100% |
629
7.48 IPS |
|
|
Face Detection (Q)
|
95% |
1335
15.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
806
6.21 IPS |
|
|
Depth Estimation (HP)
|
99% |
804
6.19 IPS |
|
|
Depth Estimation (Q)
|
64% |
1387
12.7 IPS |
|
|
Style Transfer (SP)
|
89% |
1732
2.25 IPS |
|
|
Style Transfer (HP)
|
89% |
1730
2.25 IPS |
|
|
Style Transfer (Q)
|
98% |
3480
4.49 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
430
15.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
422
15.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
830
30.8 IPS |
|
|
Text Classification (SP)
|
100% |
237
316.4 IPS |
|
|
Text Classification (HP)
|
100% |
235
313.3 IPS |
|
|
Text Classification (Q)
|
88% |
421
567.9 IPS |
|
|
Machine Translation (SP)
|
100% |
411
7.07 IPS |
|
|
Machine Translation (HP)
|
100% |
409
7.04 IPS |
|
|
Machine Translation (Q)
|
50% |
276
9.78 IPS |
