Google corsola
Geekbench AI Score
437
Single Precision Score
436
Half Precision Score
852
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | November 21 2024 01:20 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 | tentacool |
| 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
37.9 IPS |
|
|
Image Classification (HP)
|
100% |
204
38.0 IPS |
|
|
Image Classification (Q)
|
100% |
583
108.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
249
4.04 IPS |
|
|
Image Segmentation (HP)
|
100% |
252
4.08 IPS |
|
|
Image Segmentation (Q)
|
98% |
638
10.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
962
1.12 IPS |
|
|
Pose Estimation (HP)
|
100% |
934
1.09 IPS |
|
|
Pose Estimation (Q)
|
84% |
1522
1.80 IPS |
|
|
Object Detection (SP)
|
100% |
188
14.9 IPS |
|
|
Object Detection (HP)
|
100% |
193
15.3 IPS |
|
|
Object Detection (Q)
|
83% |
578
46.7 IPS |
|
|
Face Detection (SP)
|
100% |
606
7.21 IPS |
|
|
Face Detection (HP)
|
100% |
609
7.23 IPS |
|
|
Face Detection (Q)
|
95% |
1319
15.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
746
5.75 IPS |
|
|
Depth Estimation (HP)
|
99% |
743
5.72 IPS |
|
|
Depth Estimation (Q)
|
64% |
1376
12.6 IPS |
|
|
Style Transfer (SP)
|
89% |
1586
2.06 IPS |
|
|
Style Transfer (HP)
|
89% |
1596
2.07 IPS |
|
|
Style Transfer (Q)
|
98% |
3442
4.44 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
406
15.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
400
14.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
833
30.9 IPS |
|
|
Text Classification (SP)
|
100% |
239
319.6 IPS |
|
|
Text Classification (HP)
|
100% |
237
316.5 IPS |
|
|
Text Classification (Q)
|
88% |
427
575.7 IPS |
|
|
Machine Translation (SP)
|
100% |
401
6.92 IPS |
|
|
Machine Translation (HP)
|
100% |
396
6.83 IPS |
|
|
Machine Translation (Q)
|
50% |
280
9.93 IPS |
