Vocal Vocal V2
Geekbench ML Score
416
TensorFlow Lite CPU Inference Score
Geekbench ML 0.6.0 for Android AArch64
Result Information
| Upload Date | April 30 2025 11:46 AM |
| Views | 7 |
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% |
200
37.4 IPS |
|
|
Image Classification (F16)
|
100% |
202
37.8 IPS |
|
|
Image Classification (I8)
|
97% |
353
66.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
305
5.09 IPS |
|
|
Image Segmentation (F16)
|
100% |
301
5.03 IPS |
|
|
Image Segmentation (I8)
|
98% |
415
6.92 IPS |
|
|
Pose Estimation (F32)
|
100% |
400
0.48 IPS |
|
|
Pose Estimation (F16)
|
100% |
410
0.50 IPS |
|
|
Pose Estimation (I8)
|
100% |
1862
2.26 IPS |
|
|
Object Detection (F32)
|
100% |
234
17.5 IPS |
|
|
Object Detection (F16)
|
100% |
229
17.1 IPS |
|
|
Object Detection (I8)
|
61% |
415
31.0 IPS |
|
|
Face Detection (F32)
|
100% |
443
5.27 IPS |
|
|
Face Detection (F16)
|
100% |
447
5.31 IPS |
|
|
Face Detection (I8)
|
86% |
916
10.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
439
3.41 IPS |
|
|
Depth Estimation (F16)
|
100% |
438
3.40 IPS |
|
|
Depth Estimation (I8)
|
95% |
913
7.08 IPS |
|
|
Style Transfer (F32)
|
100% |
669
0.88 IPS |
|
|
Style Transfer (F16)
|
100% |
669
0.88 IPS |
|
|
Style Transfer (I8)
|
98% |
2072
2.73 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
255
9.10 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
256
9.14 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
724
25.9 IPS |
|
|
Text Classification (F32)
|
100% |
247
354.6 IPS |
|
|
Text Classification (F16)
|
100% |
244
350.8 IPS |
|
|
Text Classification (I8)
|
92% |
195
280.9 IPS |
|
|
Machine Translation (F32)
|
100% |
487
8.97 IPS |
|
|
Machine Translation (F16)
|
100% |
506
9.32 IPS |
|
|
Machine Translation (I8)
|
64% |
262
4.82 IPS |
