Blackview Tab 60 Pro
Geekbench AI Score
136
Single Precision Score
154
Half Precision Score
167
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | December 21 2024 09:24 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | Blackview Tab 60 Pro |
| Model ID | Blackview Tab 60 Pro |
| Motherboard | ums9230_6h10 |
| Governor | uscfreq |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 3 part 3338 revision 1 |
| Base Frequency | 1.61 GHz |
| Cluster 1 | 8 Cores @ 1.61 GHz |
| Memory Information | |
|---|---|
| Size | 7.58 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
74
13.8 IPS |
|
|
Image Classification (HP)
|
100% |
120
22.4 IPS |
|
|
Image Classification (Q)
|
97% |
113
21.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
104
1.69 IPS |
|
|
Image Segmentation (HP)
|
100% |
157
2.54 IPS |
|
|
Image Segmentation (Q)
|
98% |
155
2.53 IPS |
|
|
Pose Estimation (SP)
|
100% |
463
0.54 IPS |
|
|
Pose Estimation (HP)
|
100% |
226
0.26 IPS |
|
|
Pose Estimation (Q)
|
96% |
442
0.52 IPS |
|
|
Object Detection (SP)
|
100% |
68
5.42 IPS |
|
|
Object Detection (HP)
|
99% |
124
9.81 IPS |
|
|
Object Detection (Q)
|
86% |
112
9.01 IPS |
|
|
Face Detection (SP)
|
100% |
249
2.95 IPS |
|
|
Face Detection (HP)
|
100% |
337
4.01 IPS |
|
|
Face Detection (Q)
|
97% |
233
2.78 IPS |
|
|
Depth Estimation (SP)
|
100% |
348
2.68 IPS |
|
|
Depth Estimation (HP)
|
98% |
312
2.41 IPS |
|
|
Depth Estimation (Q)
|
65% |
359
3.21 IPS |
|
|
Style Transfer (SP)
|
100% |
351
0.45 IPS |
|
|
Style Transfer (HP)
|
100% |
178
0.23 IPS |
|
|
Style Transfer (Q)
|
98% |
581
0.75 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
207
7.66 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
134
4.93 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
220
8.15 IPS |
|
|
Text Classification (SP)
|
100% |
21
27.6 IPS |
|
|
Text Classification (HP)
|
100% |
57
76.0 IPS |
|
|
Text Classification (Q)
|
93% |
36
47.9 IPS |
|
|
Machine Translation (SP)
|
100% |
72
1.24 IPS |
|
|
Machine Translation (HP)
|
100% |
100
1.73 IPS |
|
|
Machine Translation (Q)
|
55% |
52
1.38 IPS |
