revoview A67L
Geekbench AI Score
250
Single Precision Score
256
Half Precision Score
479
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | October 29 2025 01:43 PM |
| Views | 2 |
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% |
134
25.0 IPS |
|
|
Image Classification (HP)
|
100% |
131
24.3 IPS |
|
|
Image Classification (Q)
|
100% |
363
67.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
175
2.84 IPS |
|
|
Image Segmentation (HP)
|
100% |
173
2.80 IPS |
|
|
Image Segmentation (Q)
|
98% |
489
7.96 IPS |
|
|
Pose Estimation (SP)
|
100% |
575
0.67 IPS |
|
|
Pose Estimation (HP)
|
100% |
573
0.67 IPS |
|
|
Pose Estimation (Q)
|
84% |
1034
1.23 IPS |
|
|
Object Detection (SP)
|
100% |
123
9.74 IPS |
|
|
Object Detection (HP)
|
100% |
123
9.74 IPS |
|
|
Object Detection (Q)
|
83% |
345
27.9 IPS |
|
|
Face Detection (SP)
|
100% |
335
3.99 IPS |
|
|
Face Detection (HP)
|
100% |
338
4.01 IPS |
|
|
Face Detection (Q)
|
95% |
839
10.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
373
2.87 IPS |
|
|
Depth Estimation (HP)
|
99% |
438
3.37 IPS |
|
|
Depth Estimation (Q)
|
64% |
906
8.30 IPS |
|
|
Style Transfer (SP)
|
89% |
1130
1.47 IPS |
|
|
Style Transfer (HP)
|
89% |
1137
1.48 IPS |
|
|
Style Transfer (Q)
|
98% |
2110
2.72 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
187
6.90 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
198
7.32 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
558
20.7 IPS |
|
|
Text Classification (SP)
|
100% |
117
156.1 IPS |
|
|
Text Classification (HP)
|
100% |
120
159.5 IPS |
|
|
Text Classification (Q)
|
88% |
132
177.4 IPS |
|
|
Machine Translation (SP)
|
100% |
192
3.30 IPS |
|
|
Machine Translation (HP)
|
100% |
190
3.27 IPS |
|
|
Machine Translation (Q)
|
50% |
86
3.04 IPS |
