Blackview Tab 13
Geekbench AI Score
335
Single Precision Score
344
Half Precision Score
652
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | September 18 2024 02:36 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM MT6769V/CZ |
| System Information | |
|---|---|
| Operating System | Android 12 |
| Model | Blackview Tab 13 |
| Model ID | Blackview Tab 13 |
| Motherboard | tp737_dk_dk039_69_s0 |
| CPU Information | |
|---|---|
| Name | ARM MT6769V/CZ |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 3 part 3338 revision 1 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 6 Cores @ 1.80 GHz |
| Cluster 2 | 2 Cores @ 2.00 GHz |
| Memory Information | |
|---|---|
| Size | 5.66 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
168
31.2 IPS |
|
|
Image Classification (HP)
|
100% |
141
26.2 IPS |
|
|
Image Classification (Q)
|
100% |
466
86.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
210
3.40 IPS |
|
|
Image Segmentation (HP)
|
100% |
209
3.38 IPS |
|
|
Image Segmentation (Q)
|
98% |
659
10.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
750
0.88 IPS |
|
|
Pose Estimation (HP)
|
100% |
699
0.82 IPS |
|
|
Pose Estimation (Q)
|
84% |
1385
1.64 IPS |
|
|
Object Detection (SP)
|
100% |
177
14.1 IPS |
|
|
Object Detection (HP)
|
100% |
186
14.8 IPS |
|
|
Object Detection (Q)
|
83% |
424
34.2 IPS |
|
|
Face Detection (SP)
|
100% |
427
5.07 IPS |
|
|
Face Detection (HP)
|
100% |
424
5.04 IPS |
|
|
Face Detection (Q)
|
95% |
1141
13.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
543
4.18 IPS |
|
|
Depth Estimation (HP)
|
99% |
567
4.37 IPS |
|
|
Depth Estimation (Q)
|
64% |
1229
11.3 IPS |
|
|
Style Transfer (SP)
|
89% |
1524
1.98 IPS |
|
|
Style Transfer (HP)
|
89% |
1451
1.88 IPS |
|
|
Style Transfer (Q)
|
98% |
2589
3.34 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
275
10.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
286
10.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
726
26.9 IPS |
|
|
Text Classification (SP)
|
100% |
152
203.5 IPS |
|
|
Text Classification (HP)
|
100% |
198
264.9 IPS |
|
|
Text Classification (Q)
|
88% |
204
275.6 IPS |
|
|
Machine Translation (SP)
|
100% |
263
4.53 IPS |
|
|
Machine Translation (HP)
|
100% |
311
5.36 IPS |
|
|
Machine Translation (Q)
|
50% |
145
5.13 IPS |
