Google corsola
Geekbench AI Score
441
Single Precision Score
440
Half Precision Score
856
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | September 18 2024 08:54 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
37.2 IPS |
|
|
Image Classification (HP)
|
100% |
200
37.2 IPS |
|
|
Image Classification (Q)
|
100% |
583
108.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
246
3.98 IPS |
|
|
Image Segmentation (HP)
|
100% |
246
3.99 IPS |
|
|
Image Segmentation (Q)
|
98% |
638
10.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
975
1.14 IPS |
|
|
Pose Estimation (HP)
|
100% |
955
1.11 IPS |
|
|
Pose Estimation (Q)
|
84% |
1517
1.80 IPS |
|
|
Object Detection (SP)
|
100% |
192
15.2 IPS |
|
|
Object Detection (HP)
|
100% |
193
15.3 IPS |
|
|
Object Detection (Q)
|
83% |
581
46.9 IPS |
|
|
Face Detection (SP)
|
100% |
614
7.29 IPS |
|
|
Face Detection (HP)
|
100% |
613
7.28 IPS |
|
|
Face Detection (Q)
|
95% |
1323
15.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
777
5.98 IPS |
|
|
Depth Estimation (HP)
|
99% |
781
6.02 IPS |
|
|
Depth Estimation (Q)
|
64% |
1378
12.6 IPS |
|
|
Style Transfer (SP)
|
89% |
1620
2.10 IPS |
|
|
Style Transfer (HP)
|
89% |
1624
2.11 IPS |
|
|
Style Transfer (Q)
|
98% |
3467
4.47 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
408
15.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
411
15.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
830
30.7 IPS |
|
|
Text Classification (SP)
|
100% |
240
320.7 IPS |
|
|
Text Classification (HP)
|
100% |
236
315.1 IPS |
|
|
Text Classification (Q)
|
88% |
434
584.7 IPS |
|
|
Machine Translation (SP)
|
100% |
406
7.00 IPS |
|
|
Machine Translation (HP)
|
100% |
403
6.94 IPS |
|
|
Machine Translation (Q)
|
50% |
285
10.1 IPS |
