Vocal Vocal V2
Geekbench ML Score
174
TensorFlow Lite GPU Inference Score
Geekbench ML 0.6.0 for Android AArch64
Result Information
| Upload Date | April 30 2025 12:07 PM |
| Views | 5 |
System Information
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | Vocal Vocal V2 |
| Model ID | Vocal Vocal V2 |
| Motherboard | V2 |
| 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 | 5.61 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
93
17.3 IPS |
|
|
Image Classification (F16)
|
100% |
163
30.6 IPS |
|
|
Image Classification (I8)
|
97% |
154
28.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
117
1.96 IPS |
|
|
Image Segmentation (F16)
|
100% |
193
3.23 IPS |
|
|
Image Segmentation (I8)
|
98% |
186
3.10 IPS |
|
|
Pose Estimation (F32)
|
100% |
89
0.11 IPS |
|
|
Pose Estimation (F16)
|
100% |
105
0.13 IPS |
|
|
Pose Estimation (I8)
|
100% |
105
0.13 IPS |
|
|
Object Detection (F32)
|
100% |
68
5.09 IPS |
|
|
Object Detection (F16)
|
100% |
85
6.32 IPS |
|
|
Object Detection (I8)
|
62% |
93
6.94 IPS |
|
|
Face Detection (F32)
|
100% |
255
3.03 IPS |
|
|
Face Detection (F16)
|
98% |
334
3.97 IPS |
|
|
Face Detection (I8)
|
86% |
349
4.15 IPS |
|
|
Depth Estimation (F32)
|
100% |
170
1.32 IPS |
|
|
Depth Estimation (F16)
|
100% |
225
1.74 IPS |
|
|
Depth Estimation (I8)
|
95% |
225
1.74 IPS |
|
|
Style Transfer (F32)
|
100% |
344
0.45 IPS |
|
|
Style Transfer (F16)
|
100% |
478
0.63 IPS |
|
|
Style Transfer (I8)
|
98% |
478
0.63 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
92
3.28 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
142
5.08 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
140
5.01 IPS |
|
|
Text Classification (F32)
|
100% |
146
209.6 IPS |
|
|
Text Classification (F16)
|
100% |
145
208.7 IPS |
|
|
Text Classification (I8)
|
92% |
235
337.4 IPS |
|
|
Machine Translation (F32)
|
100% |
268
4.94 IPS |
|
|
Machine Translation (F16)
|
100% |
269
4.94 IPS |
|
|
Machine Translation (I8)
|
64% |
245
4.51 IPS |
