BOE 100146660
Geekbench AI Score
353
Single Precision Score
329
Half Precision Score
391
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | AaronMTechVlogs |
| Upload Date | February 20 2025 06:26 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | BOE 100146660 |
| Model ID | BOE 100146660 |
| Motherboard | bengal |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3337 revision 0 |
| Base Frequency | 1.90 GHz |
| Cluster 1 | 4 Cores @ 1.90 GHz |
| Cluster 2 | 4 Cores @ 2.80 GHz |
| Memory Information | |
|---|---|
| Size | 3.57 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
196
36.4 IPS |
|
|
Image Classification (HP)
|
100% |
197
36.6 IPS |
|
|
Image Classification (Q)
|
100% |
361
67.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
235
3.80 IPS |
|
|
Image Segmentation (HP)
|
100% |
235
3.81 IPS |
|
|
Image Segmentation (Q)
|
98% |
449
7.30 IPS |
|
|
Pose Estimation (SP)
|
100% |
865
1.01 IPS |
|
|
Pose Estimation (HP)
|
100% |
847
0.99 IPS |
|
|
Pose Estimation (Q)
|
84% |
668
0.79 IPS |
|
|
Object Detection (SP)
|
100% |
166
13.1 IPS |
|
|
Object Detection (HP)
|
100% |
168
13.3 IPS |
|
|
Object Detection (Q)
|
83% |
319
25.8 IPS |
|
|
Face Detection (SP)
|
100% |
502
5.96 IPS |
|
|
Face Detection (HP)
|
100% |
498
5.92 IPS |
|
|
Face Detection (Q)
|
95% |
775
9.25 IPS |
|
|
Depth Estimation (SP)
|
100% |
710
5.47 IPS |
|
|
Depth Estimation (HP)
|
99% |
701
5.40 IPS |
|
|
Depth Estimation (Q)
|
64% |
725
6.64 IPS |
|
|
Style Transfer (SP)
|
89% |
1421
1.85 IPS |
|
|
Style Transfer (HP)
|
89% |
1443
1.87 IPS |
|
|
Style Transfer (Q)
|
98% |
1849
2.38 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
379
14.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
198
7.32 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
194
7.18 IPS |
|
|
Text Classification (SP)
|
100% |
122
162.4 IPS |
|
|
Text Classification (HP)
|
100% |
121
161.0 IPS |
|
|
Text Classification (Q)
|
88% |
132
178.3 IPS |
|
|
Machine Translation (SP)
|
100% |
198
3.41 IPS |
|
|
Machine Translation (HP)
|
100% |
189
3.25 IPS |
|
|
Machine Translation (Q)
|
50% |
92
3.27 IPS |
