Google corsola
Geekbench AI Score
438
Single Precision Score
437
Half Precision Score
854
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | September 18 2024 09:03 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% |
200
37.1 IPS |
|
|
Image Classification (HP)
|
100% |
197
36.6 IPS |
|
|
Image Classification (Q)
|
100% |
586
108.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
242
3.93 IPS |
|
|
Image Segmentation (HP)
|
100% |
242
3.93 IPS |
|
|
Image Segmentation (Q)
|
98% |
638
10.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
949
1.11 IPS |
|
|
Pose Estimation (HP)
|
100% |
935
1.09 IPS |
|
|
Pose Estimation (Q)
|
84% |
1516
1.80 IPS |
|
|
Object Detection (SP)
|
100% |
190
15.1 IPS |
|
|
Object Detection (HP)
|
100% |
190
15.0 IPS |
|
|
Object Detection (Q)
|
83% |
583
47.1 IPS |
|
|
Face Detection (SP)
|
100% |
611
7.26 IPS |
|
|
Face Detection (HP)
|
100% |
610
7.24 IPS |
|
|
Face Detection (Q)
|
95% |
1318
15.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
770
5.93 IPS |
|
|
Depth Estimation (HP)
|
99% |
783
6.04 IPS |
|
|
Depth Estimation (Q)
|
64% |
1377
12.6 IPS |
|
|
Style Transfer (SP)
|
89% |
1629
2.11 IPS |
|
|
Style Transfer (HP)
|
89% |
1626
2.11 IPS |
|
|
Style Transfer (Q)
|
98% |
3478
4.49 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
410
15.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
412
15.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
806
29.9 IPS |
|
|
Text Classification (SP)
|
100% |
239
318.8 IPS |
|
|
Text Classification (HP)
|
100% |
236
315.4 IPS |
|
|
Text Classification (Q)
|
88% |
433
584.5 IPS |
|
|
Machine Translation (SP)
|
100% |
401
6.90 IPS |
|
|
Machine Translation (HP)
|
100% |
400
6.89 IPS |
|
|
Machine Translation (Q)
|
50% |
285
10.1 IPS |
