Blackview SHARK 8
Geekbench AI Score
144
Single Precision Score
201
Half Precision Score
192
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | mikewebworx |
| Upload Date | March 07 2025 05:24 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 13 |
| Model | Blackview SHARK 8 |
| Model ID | Blackview SHARK 8 |
| Motherboard | k6789v1_64 |
| 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 | 7.60 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
98
18.1 IPS |
|
|
Image Classification (HP)
|
100% |
178
33.2 IPS |
|
|
Image Classification (Q)
|
99% |
172
32.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
116
1.89 IPS |
|
|
Image Segmentation (HP)
|
100% |
207
3.35 IPS |
|
|
Image Segmentation (Q)
|
98% |
185
3.01 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% |
74
5.86 IPS |
|
|
Object Detection (HP)
|
100% |
123
9.73 IPS |
|
|
Object Detection (Q)
|
83% |
99
8.02 IPS |
|
|
Face Detection (SP)
|
100% |
222
2.63 IPS |
|
|
Face Detection (HP)
|
100% |
350
4.15 IPS |
|
|
Face Detection (Q)
|
97% |
383
4.57 IPS |
|
|
Depth Estimation (SP)
|
100% |
174
1.34 IPS |
|
|
Depth Estimation (HP)
|
99% |
229
1.76 IPS |
|
|
Depth Estimation (Q)
|
62% |
185
1.75 IPS |
|
|
Style Transfer (SP)
|
100% |
350
0.45 IPS |
|
|
Style Transfer (HP)
|
100% |
488
0.63 IPS |
|
|
Style Transfer (Q)
|
98% |
487
0.63 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
90
3.34 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
139
5.14 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
137
5.09 IPS |
|
|
Text Classification (SP)
|
100% |
157
209.6 IPS |
|
|
Text Classification (HP)
|
100% |
156
208.5 IPS |
|
|
Text Classification (Q)
|
91% |
250
335.8 IPS |
|
|
Machine Translation (SP)
|
100% |
270
4.64 IPS |
|
|
Machine Translation (HP)
|
100% |
269
4.63 IPS |
|
|
Machine Translation (Q)
|
57% |
176
4.31 IPS |
