Google corsola
Geekbench AI Score
435
Single Precision Score
434
Half Precision Score
830
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | December 04 2024 12:07 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 | chinchou360 |
| 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% |
180
33.5 IPS |
|
|
Image Classification (HP)
|
100% |
196
36.5 IPS |
|
|
Image Classification (Q)
|
100% |
561
104.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
241
3.91 IPS |
|
|
Image Segmentation (HP)
|
100% |
217
3.52 IPS |
|
|
Image Segmentation (Q)
|
98% |
556
9.04 IPS |
|
|
Pose Estimation (SP)
|
100% |
933
1.09 IPS |
|
|
Pose Estimation (HP)
|
100% |
945
1.10 IPS |
|
|
Pose Estimation (Q)
|
84% |
1524
1.81 IPS |
|
|
Object Detection (SP)
|
100% |
190
15.1 IPS |
|
|
Object Detection (HP)
|
100% |
195
15.5 IPS |
|
|
Object Detection (Q)
|
83% |
572
46.2 IPS |
|
|
Face Detection (SP)
|
100% |
623
7.40 IPS |
|
|
Face Detection (HP)
|
100% |
625
7.43 IPS |
|
|
Face Detection (Q)
|
95% |
1307
15.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
807
6.21 IPS |
|
|
Depth Estimation (HP)
|
99% |
770
5.93 IPS |
|
|
Depth Estimation (Q)
|
64% |
1380
12.6 IPS |
|
|
Style Transfer (SP)
|
89% |
1627
2.11 IPS |
|
|
Style Transfer (HP)
|
89% |
1648
2.14 IPS |
|
|
Style Transfer (Q)
|
98% |
3466
4.47 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
419
15.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
415
15.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
827
30.6 IPS |
|
|
Text Classification (SP)
|
100% |
232
310.2 IPS |
|
|
Text Classification (HP)
|
100% |
234
312.0 IPS |
|
|
Text Classification (Q)
|
88% |
412
555.1 IPS |
|
|
Machine Translation (SP)
|
100% |
398
6.85 IPS |
|
|
Machine Translation (HP)
|
100% |
394
6.79 IPS |
|
|
Machine Translation (Q)
|
50% |
271
9.61 IPS |
