Blackview Tab 7 WiFi
Geekbench AI Score
71
Single Precision Score
71
Half Precision Score
89
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | October 27 2024 02:34 PM |
| Views | 14 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM Rockchip |
| System Information | |
|---|---|
| Operating System | Android 12 |
| Model | Blackview Tab 7 WiFi |
| Model ID | Blackview Tab 7 WiFi |
| Motherboard | rk30sdk |
| Governor | interactive |
| CPU Information | |
|---|---|
| Name | ARM Rockchip |
| Topology | 1 Processor, 4 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 0 part 3332 revision 2 |
| Base Frequency | 1.51 GHz |
| Cluster 1 | 4 Cores @ 1.51 GHz |
| Memory Information | |
|---|---|
| Size | 2.89 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
28
5.16 IPS |
|
|
Image Classification (HP)
|
100% |
29
5.40 IPS |
|
|
Image Classification (Q)
|
100% |
55
10.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
40
0.64 IPS |
|
|
Image Segmentation (HP)
|
100% |
39
0.64 IPS |
|
|
Image Segmentation (Q)
|
98% |
78
1.27 IPS |
|
|
Pose Estimation (SP)
|
100% |
146
0.17 IPS |
|
|
Pose Estimation (HP)
|
100% |
147
0.17 IPS |
|
|
Pose Estimation (Q)
|
84% |
120
0.14 IPS |
|
|
Object Detection (SP)
|
100% |
31
2.43 IPS |
|
|
Object Detection (HP)
|
100% |
31
2.42 IPS |
|
|
Object Detection (Q)
|
83% |
57
4.63 IPS |
|
|
Face Detection (SP)
|
100% |
104
1.24 IPS |
|
|
Face Detection (HP)
|
100% |
105
1.25 IPS |
|
|
Face Detection (Q)
|
95% |
172
2.05 IPS |
|
|
Depth Estimation (SP)
|
100% |
144
1.11 IPS |
|
|
Depth Estimation (HP)
|
99% |
145
1.12 IPS |
|
|
Depth Estimation (Q)
|
64% |
130
1.19 IPS |
|
|
Style Transfer (SP)
|
89% |
262
0.34 IPS |
|
|
Style Transfer (HP)
|
89% |
262
0.34 IPS |
|
|
Style Transfer (Q)
|
98% |
311
0.40 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
72
2.66 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
72
2.66 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
72
2.68 IPS |
|
|
Text Classification (SP)
|
100% |
38
50.3 IPS |
|
|
Text Classification (HP)
|
100% |
37
49.8 IPS |
|
|
Text Classification (Q)
|
88% |
59
79.5 IPS |
|
|
Machine Translation (SP)
|
100% |
63
1.09 IPS |
|
|
Machine Translation (HP)
|
100% |
63
1.09 IPS |
|
|
Machine Translation (Q)
|
50% |
39
1.40 IPS |
