Google corsola
Geekbench AI Score
109
Single Precision Score
110
Half Precision Score
300
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | September 18 2024 07:38 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| 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% |
64
12.0 IPS |
|
|
Image Classification (HP)
|
100% |
65
12.1 IPS |
|
|
Image Classification (Q)
|
99% |
193
36.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
89
1.44 IPS |
|
|
Image Segmentation (HP)
|
100% |
89
1.45 IPS |
|
|
Image Segmentation (Q)
|
98% |
214
3.48 IPS |
|
|
Pose Estimation (SP)
|
100% |
111
0.13 IPS |
|
|
Pose Estimation (HP)
|
100% |
111
0.13 IPS |
|
|
Pose Estimation (Q)
|
98% |
476
0.56 IPS |
|
|
Object Detection (SP)
|
100% |
64
5.07 IPS |
|
|
Object Detection (HP)
|
100% |
64
5.08 IPS |
|
|
Object Detection (Q)
|
87% |
208
16.7 IPS |
|
|
Face Detection (SP)
|
100% |
183
2.17 IPS |
|
|
Face Detection (HP)
|
100% |
184
2.18 IPS |
|
|
Face Detection (Q)
|
97% |
439
5.23 IPS |
|
|
Depth Estimation (SP)
|
100% |
143
1.10 IPS |
|
|
Depth Estimation (HP)
|
99% |
144
1.11 IPS |
|
|
Depth Estimation (Q)
|
64% |
397
3.60 IPS |
|
|
Style Transfer (SP)
|
100% |
255
0.33 IPS |
|
|
Style Transfer (HP)
|
100% |
255
0.33 IPS |
|
|
Style Transfer (Q)
|
98% |
878
1.13 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
68
2.52 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
68
2.50 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
274
10.2 IPS |
|
|
Text Classification (SP)
|
100% |
89
118.8 IPS |
|
|
Text Classification (HP)
|
100% |
89
119.2 IPS |
|
|
Text Classification (Q)
|
91% |
202
272.0 IPS |
|
|
Machine Translation (SP)
|
100% |
158
2.71 IPS |
|
|
Machine Translation (HP)
|
100% |
158
2.72 IPS |
|
|
Machine Translation (Q)
|
57% |
171
4.18 IPS |
