Vocal Vocal V2
Geekbench ML Score
414
TensorFlow Lite CPU Inference Score
Geekbench ML 0.6.0 for Android AArch64
Result Information
| Upload Date | May 06 2025 11:11 AM |
| Views | 4 |
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 | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
196
36.7 IPS |
|
|
Image Classification (F16)
|
100% |
197
36.8 IPS |
|
|
Image Classification (I8)
|
97% |
351
65.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
298
4.98 IPS |
|
|
Image Segmentation (F16)
|
100% |
305
5.10 IPS |
|
|
Image Segmentation (I8)
|
98% |
426
7.12 IPS |
|
|
Pose Estimation (F32)
|
100% |
406
0.49 IPS |
|
|
Pose Estimation (F16)
|
100% |
405
0.49 IPS |
|
|
Pose Estimation (I8)
|
100% |
1877
2.27 IPS |
|
|
Object Detection (F32)
|
100% |
230
17.2 IPS |
|
|
Object Detection (F16)
|
100% |
231
17.3 IPS |
|
|
Object Detection (I8)
|
61% |
415
31.0 IPS |
|
|
Face Detection (F32)
|
100% |
449
5.34 IPS |
|
|
Face Detection (F16)
|
100% |
451
5.37 IPS |
|
|
Face Detection (I8)
|
86% |
907
10.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
428
3.32 IPS |
|
|
Depth Estimation (F16)
|
100% |
433
3.36 IPS |
|
|
Depth Estimation (I8)
|
95% |
927
7.19 IPS |
|
|
Style Transfer (F32)
|
100% |
667
0.88 IPS |
|
|
Style Transfer (F16)
|
100% |
668
0.88 IPS |
|
|
Style Transfer (I8)
|
98% |
2062
2.71 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
254
9.07 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
255
9.11 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
711
25.4 IPS |
|
|
Text Classification (F32)
|
100% |
241
346.0 IPS |
|
|
Text Classification (F16)
|
100% |
249
357.2 IPS |
|
|
Text Classification (I8)
|
92% |
192
275.5 IPS |
|
|
Machine Translation (F32)
|
100% |
486
8.94 IPS |
|
|
Machine Translation (F16)
|
100% |
479
8.82 IPS |
|
|
Machine Translation (I8)
|
64% |
259
4.77 IPS |
