Rhino Mobility T80
Geekbench AI Score
152
Single Precision Score
155
Half Precision Score
160
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | September 20 2024 03:49 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 13 |
| Model | Rhino Mobility T80 |
| Model ID | Rhino Mobility T80 |
| Motherboard | scout |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3337 revision 0 |
| Base Frequency | 1.90 GHz |
| Cluster 1 | 4 Cores @ 1.90 GHz |
| Cluster 2 | 4 Cores @ 2.40 GHz |
| Memory Information | |
|---|---|
| Size | 2.60 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
93
17.3 IPS |
|
|
Image Classification (HP)
|
100% |
104
19.4 IPS |
|
|
Image Classification (Q)
|
100% |
101
18.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
103
1.67 IPS |
|
|
Image Segmentation (HP)
|
100% |
92
1.49 IPS |
|
|
Image Segmentation (Q)
|
98% |
114
1.86 IPS |
|
|
Pose Estimation (SP)
|
100% |
287
0.34 IPS |
|
|
Pose Estimation (HP)
|
100% |
287
0.33 IPS |
|
|
Pose Estimation (Q)
|
84% |
239
0.28 IPS |
|
|
Object Detection (SP)
|
100% |
51
4.02 IPS |
|
|
Object Detection (HP)
|
100% |
66
5.24 IPS |
|
|
Object Detection (Q)
|
83% |
121
9.74 IPS |
|
|
Face Detection (SP)
|
100% |
172
2.05 IPS |
|
|
Face Detection (HP)
|
100% |
177
2.11 IPS |
|
|
Face Detection (Q)
|
95% |
267
3.19 IPS |
|
|
Depth Estimation (SP)
|
100% |
288
2.22 IPS |
|
|
Depth Estimation (HP)
|
99% |
242
1.87 IPS |
|
|
Depth Estimation (Q)
|
64% |
206
1.89 IPS |
|
|
Style Transfer (SP)
|
89% |
473
0.61 IPS |
|
|
Style Transfer (HP)
|
89% |
606
0.79 IPS |
|
|
Style Transfer (Q)
|
98% |
595
0.77 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
151
5.56 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
134
4.96 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
151
5.58 IPS |
|
|
Text Classification (SP)
|
100% |
89
119.3 IPS |
|
|
Text Classification (HP)
|
100% |
89
119.0 IPS |
|
|
Text Classification (Q)
|
88% |
104
140.2 IPS |
|
|
Machine Translation (SP)
|
100% |
152
2.62 IPS |
|
|
Machine Translation (HP)
|
100% |
151
2.61 IPS |
|
|
Machine Translation (Q)
|
50% |
67
2.38 IPS |
