Blackview MEGA 1
Geekbench AI Score
143
Single Precision Score
198
Half Precision Score
189
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | March 30 2025 05:27 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 13 |
| Model | Blackview MEGA 1 |
| Model ID | Blackview MEGA 1 |
| Motherboard | tp7691_dk_dk070_6789_t0_neu |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 4 part 3339 revision 0 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 6 Cores @ 2.00 GHz |
| Cluster 2 | 2 Cores @ 2.20 GHz |
| Memory Information | |
|---|---|
| Size | 11.45 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
93
17.4 IPS |
|
|
Image Classification (HP)
|
100% |
167
31.1 IPS |
|
|
Image Classification (Q)
|
99% |
159
29.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
111
1.80 IPS |
|
|
Image Segmentation (HP)
|
100% |
196
3.18 IPS |
|
|
Image Segmentation (Q)
|
98% |
192
3.12 IPS |
|
|
Pose Estimation (SP)
|
100% |
92
0.11 IPS |
|
|
Pose Estimation (HP)
|
100% |
108
0.13 IPS |
|
|
Pose Estimation (Q)
|
96% |
108
0.13 IPS |
|
|
Object Detection (SP)
|
100% |
71
5.66 IPS |
|
|
Object Detection (HP)
|
100% |
115
9.11 IPS |
|
|
Object Detection (Q)
|
83% |
100
8.07 IPS |
|
|
Face Detection (SP)
|
100% |
232
2.76 IPS |
|
|
Face Detection (HP)
|
100% |
360
4.28 IPS |
|
|
Face Detection (Q)
|
97% |
328
3.91 IPS |
|
|
Depth Estimation (SP)
|
100% |
176
1.36 IPS |
|
|
Depth Estimation (HP)
|
99% |
228
1.76 IPS |
|
|
Depth Estimation (Q)
|
62% |
184
1.74 IPS |
|
|
Style Transfer (SP)
|
100% |
348
0.45 IPS |
|
|
Style Transfer (HP)
|
100% |
488
0.63 IPS |
|
|
Style Transfer (Q)
|
98% |
487
0.63 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
89
3.28 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
138
5.10 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
136
5.05 IPS |
|
|
Text Classification (SP)
|
100% |
156
208.7 IPS |
|
|
Text Classification (HP)
|
100% |
156
207.8 IPS |
|
|
Text Classification (Q)
|
91% |
250
336.0 IPS |
|
|
Machine Translation (SP)
|
100% |
269
4.63 IPS |
|
|
Machine Translation (HP)
|
100% |
268
4.62 IPS |
|
|
Machine Translation (Q)
|
57% |
177
4.32 IPS |
