Google corsola
Geekbench AI Score
448
Single Precision Score
450
Half Precision Score
864
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | September 18 2024 01:22 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 | 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 | 6.99 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
204
38.0 IPS |
|
|
Image Classification (HP)
|
100% |
204
37.9 IPS |
|
|
Image Classification (Q)
|
100% |
587
109.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
253
4.11 IPS |
|
|
Image Segmentation (HP)
|
100% |
252
4.08 IPS |
|
|
Image Segmentation (Q)
|
98% |
641
10.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
975
1.14 IPS |
|
|
Pose Estimation (HP)
|
100% |
976
1.14 IPS |
|
|
Pose Estimation (Q)
|
84% |
1522
1.81 IPS |
|
|
Object Detection (SP)
|
100% |
196
15.5 IPS |
|
|
Object Detection (HP)
|
100% |
197
15.7 IPS |
|
|
Object Detection (Q)
|
83% |
585
47.3 IPS |
|
|
Face Detection (SP)
|
100% |
621
7.37 IPS |
|
|
Face Detection (HP)
|
100% |
618
7.35 IPS |
|
|
Face Detection (Q)
|
95% |
1333
15.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
777
5.99 IPS |
|
|
Depth Estimation (HP)
|
99% |
807
6.21 IPS |
|
|
Depth Estimation (Q)
|
64% |
1384
12.7 IPS |
|
|
Style Transfer (SP)
|
89% |
1661
2.16 IPS |
|
|
Style Transfer (HP)
|
89% |
1675
2.17 IPS |
|
|
Style Transfer (Q)
|
98% |
3498
4.51 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
418
15.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
417
15.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
836
31.0 IPS |
|
|
Text Classification (SP)
|
100% |
241
321.9 IPS |
|
|
Text Classification (HP)
|
100% |
240
320.4 IPS |
|
|
Text Classification (Q)
|
88% |
444
598.3 IPS |
|
|
Machine Translation (SP)
|
100% |
415
7.16 IPS |
|
|
Machine Translation (HP)
|
100% |
413
7.12 IPS |
|
|
Machine Translation (Q)
|
50% |
289
10.3 IPS |
