Blackview MEGA 8
Geekbench AI Score
190
Single Precision Score
203
Half Precision Score
232
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | March 30 2025 03:53 AM |
| Views | 23 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | Blackview MEGA 8 |
| Model ID | Blackview MEGA 8 |
| Motherboard | ums9230_6h10 |
| Governor | performance |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 3 part 3338 revision 1 |
| Base Frequency | 1.82 GHz |
| Cluster 1 | 6 Cores @ 1.82 GHz |
| Cluster 2 | 2 Cores @ 2.21 GHz |
| Memory Information | |
|---|---|
| Size | 11.50 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
96
17.9 IPS |
|
|
Image Classification (HP)
|
100% |
162
30.2 IPS |
|
|
Image Classification (Q)
|
97% |
152
28.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
132
2.13 IPS |
|
|
Image Segmentation (HP)
|
100% |
205
3.33 IPS |
|
|
Image Segmentation (Q)
|
98% |
204
3.32 IPS |
|
|
Pose Estimation (SP)
|
100% |
601
0.70 IPS |
|
|
Pose Estimation (HP)
|
100% |
291
0.34 IPS |
|
|
Pose Estimation (Q)
|
96% |
572
0.67 IPS |
|
|
Object Detection (SP)
|
100% |
98
7.80 IPS |
|
|
Object Detection (HP)
|
99% |
161
12.8 IPS |
|
|
Object Detection (Q)
|
86% |
148
11.9 IPS |
|
|
Face Detection (SP)
|
100% |
326
3.87 IPS |
|
|
Face Detection (HP)
|
100% |
449
5.34 IPS |
|
|
Face Detection (Q)
|
97% |
310
3.70 IPS |
|
|
Depth Estimation (SP)
|
100% |
464
3.58 IPS |
|
|
Depth Estimation (HP)
|
98% |
403
3.11 IPS |
|
|
Depth Estimation (Q)
|
65% |
465
4.15 IPS |
|
|
Style Transfer (SP)
|
100% |
481
0.62 IPS |
|
|
Style Transfer (HP)
|
100% |
226
0.29 IPS |
|
|
Style Transfer (Q)
|
98% |
809
1.04 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
275
10.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
174
6.41 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
284
10.5 IPS |
|
|
Text Classification (SP)
|
100% |
39
52.1 IPS |
|
|
Text Classification (HP)
|
100% |
80
106.2 IPS |
|
|
Text Classification (Q)
|
93% |
71
95.4 IPS |
|
|
Machine Translation (SP)
|
100% |
109
1.87 IPS |
|
|
Machine Translation (HP)
|
100% |
140
2.40 IPS |
|
|
Machine Translation (Q)
|
55% |
76
2.02 IPS |
