revoview A67L
Geekbench AI Score
259
Single Precision Score
258
Half Precision Score
490
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | October 18 2025 01:41 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | revoview A67L |
| Model ID | revoview A67L |
| Motherboard | s9863a1h10 |
| Governor | uscfreq |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3333 revision 0 |
| Base Frequency | 1.20 GHz |
| Cluster 1 | 4 Cores @ 1.20 GHz |
| Cluster 2 | 4 Cores @ 1.60 GHz |
| Memory Information | |
|---|---|
| Size | 2.77 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
132
24.5 IPS |
|
|
Image Classification (HP)
|
100% |
128
23.9 IPS |
|
|
Image Classification (Q)
|
100% |
362
67.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
174
2.83 IPS |
|
|
Image Segmentation (HP)
|
100% |
173
2.81 IPS |
|
|
Image Segmentation (Q)
|
98% |
482
7.83 IPS |
|
|
Pose Estimation (SP)
|
100% |
601
0.70 IPS |
|
|
Pose Estimation (HP)
|
100% |
588
0.69 IPS |
|
|
Pose Estimation (Q)
|
84% |
1054
1.25 IPS |
|
|
Object Detection (SP)
|
100% |
124
9.83 IPS |
|
|
Object Detection (HP)
|
100% |
126
9.97 IPS |
|
|
Object Detection (Q)
|
83% |
358
28.9 IPS |
|
|
Face Detection (SP)
|
100% |
332
3.95 IPS |
|
|
Face Detection (HP)
|
100% |
333
3.96 IPS |
|
|
Face Detection (Q)
|
95% |
848
10.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
432
3.33 IPS |
|
|
Depth Estimation (HP)
|
99% |
441
3.39 IPS |
|
|
Depth Estimation (Q)
|
64% |
915
8.38 IPS |
|
|
Style Transfer (SP)
|
89% |
1164
1.51 IPS |
|
|
Style Transfer (HP)
|
89% |
1142
1.48 IPS |
|
|
Style Transfer (Q)
|
98% |
2074
2.67 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
195
7.22 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
199
7.33 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
562
20.8 IPS |
|
|
Text Classification (SP)
|
100% |
124
165.4 IPS |
|
|
Text Classification (HP)
|
100% |
120
160.8 IPS |
|
|
Text Classification (Q)
|
88% |
143
192.2 IPS |
|
|
Machine Translation (SP)
|
100% |
199
3.42 IPS |
|
|
Machine Translation (HP)
|
100% |
199
3.42 IPS |
|
|
Machine Translation (Q)
|
50% |
94
3.34 IPS |
