Blackview SHARK 8
Geekbench AI Score
482
Single Precision Score
500
Half Precision Score
938
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | mikewebworx |
| Upload Date | March 07 2025 05:48 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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% |
224
41.7 IPS |
|
|
Image Classification (HP)
|
100% |
223
41.5 IPS |
|
|
Image Classification (Q)
|
100% |
647
120.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
284
4.60 IPS |
|
|
Image Segmentation (HP)
|
100% |
283
4.59 IPS |
|
|
Image Segmentation (Q)
|
98% |
715
11.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
1120
1.31 IPS |
|
|
Pose Estimation (HP)
|
100% |
1094
1.28 IPS |
|
|
Pose Estimation (Q)
|
84% |
1606
1.90 IPS |
|
|
Object Detection (SP)
|
100% |
228
18.1 IPS |
|
|
Object Detection (HP)
|
100% |
226
18.0 IPS |
|
|
Object Detection (Q)
|
83% |
630
50.9 IPS |
|
|
Face Detection (SP)
|
100% |
737
8.76 IPS |
|
|
Face Detection (HP)
|
100% |
735
8.74 IPS |
|
|
Face Detection (Q)
|
95% |
1468
17.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
477
3.67 IPS |
|
|
Depth Estimation (HP)
|
99% |
735
5.66 IPS |
|
|
Depth Estimation (Q)
|
64% |
1482
13.6 IPS |
|
|
Style Transfer (SP)
|
89% |
1851
2.40 IPS |
|
|
Style Transfer (HP)
|
89% |
1850
2.40 IPS |
|
|
Style Transfer (Q)
|
98% |
3697
4.77 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
499
18.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
501
18.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
887
32.9 IPS |
|
|
Text Classification (SP)
|
100% |
275
366.6 IPS |
|
|
Text Classification (HP)
|
100% |
273
364.4 IPS |
|
|
Text Classification (Q)
|
88% |
484
653.3 IPS |
|
|
Machine Translation (SP)
|
100% |
470
8.09 IPS |
|
|
Machine Translation (HP)
|
100% |
464
8.00 IPS |
|
|
Machine Translation (Q)
|
50% |
329
11.7 IPS |
