Blackview SHARK 8
Geekbench AI Score
508
Single Precision Score
490
Half Precision Score
937
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | mikewebworx |
| Upload Date | March 07 2025 04:00 AM |
| Views | 4 |
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
41.6 IPS |
|
|
Image Classification (HP)
|
100% |
224
41.6 IPS |
|
|
Image Classification (Q)
|
100% |
643
119.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
282
4.57 IPS |
|
|
Image Segmentation (HP)
|
100% |
283
4.58 IPS |
|
|
Image Segmentation (Q)
|
98% |
712
11.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
1101
1.28 IPS |
|
|
Pose Estimation (HP)
|
100% |
1075
1.25 IPS |
|
|
Pose Estimation (Q)
|
84% |
1623
1.92 IPS |
|
|
Object Detection (SP)
|
100% |
227
18.0 IPS |
|
|
Object Detection (HP)
|
100% |
227
18.0 IPS |
|
|
Object Detection (Q)
|
83% |
632
51.0 IPS |
|
|
Face Detection (SP)
|
100% |
718
8.54 IPS |
|
|
Face Detection (HP)
|
100% |
719
8.54 IPS |
|
|
Face Detection (Q)
|
95% |
1466
17.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
910
7.01 IPS |
|
|
Depth Estimation (HP)
|
99% |
642
4.95 IPS |
|
|
Depth Estimation (Q)
|
64% |
1478
13.5 IPS |
|
|
Style Transfer (SP)
|
89% |
1783
2.31 IPS |
|
|
Style Transfer (HP)
|
89% |
1766
2.29 IPS |
|
|
Style Transfer (Q)
|
98% |
3694
4.76 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
488
18.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
502
18.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
885
32.8 IPS |
|
|
Text Classification (SP)
|
100% |
273
364.8 IPS |
|
|
Text Classification (HP)
|
100% |
270
360.6 IPS |
|
|
Text Classification (Q)
|
88% |
480
647.4 IPS |
|
|
Machine Translation (SP)
|
100% |
468
8.06 IPS |
|
|
Machine Translation (HP)
|
100% |
467
8.04 IPS |
|
|
Machine Translation (Q)
|
50% |
330
11.7 IPS |
