Google corsola
Geekbench AI Score
95
Single Precision Score
86
Half Precision Score
91
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | December 04 2024 07:51 AM |
| Views | 25 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
60
11.1 IPS |
|
|
Image Classification (HP)
|
100% |
56
10.3 IPS |
|
|
Image Classification (Q)
|
99% |
54
10.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
84
1.36 IPS |
|
|
Image Segmentation (HP)
|
100% |
81
1.32 IPS |
|
|
Image Segmentation (Q)
|
98% |
81
1.31 IPS |
|
|
Pose Estimation (SP)
|
100% |
60
0.07 IPS |
|
|
Pose Estimation (HP)
|
100% |
43
0.05 IPS |
|
|
Pose Estimation (Q)
|
97% |
43
0.05 IPS |
|
|
Object Detection (SP)
|
100% |
49
3.90 IPS |
|
|
Object Detection (HP)
|
100% |
47
3.75 IPS |
|
|
Object Detection (Q)
|
86% |
47
3.79 IPS |
|
|
Face Detection (SP)
|
100% |
170
2.02 IPS |
|
|
Face Detection (HP)
|
100% |
170
2.02 IPS |
|
|
Face Detection (Q)
|
97% |
165
1.97 IPS |
|
|
Depth Estimation (SP)
|
100% |
111
0.86 IPS |
|
|
Depth Estimation (HP)
|
99% |
92
0.71 IPS |
|
|
Depth Estimation (Q)
|
62% |
76
0.73 IPS |
|
|
Style Transfer (SP)
|
100% |
248
0.32 IPS |
|
|
Style Transfer (HP)
|
100% |
203
0.26 IPS |
|
|
Style Transfer (Q)
|
98% |
202
0.26 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
65
2.40 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
57
2.11 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
57
2.10 IPS |
|
|
Text Classification (SP)
|
100% |
90
120.5 IPS |
|
|
Text Classification (HP)
|
100% |
91
120.8 IPS |
|
|
Text Classification (Q)
|
91% |
203
273.3 IPS |
|
|
Machine Translation (SP)
|
100% |
161
2.77 IPS |
|
|
Machine Translation (HP)
|
100% |
160
2.76 IPS |
|
|
Machine Translation (Q)
|
57% |
164
4.00 IPS |
