vivo V2130
Geekbench AI Score
452
Single Precision Score
447
Half Precision Score
863
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | January 07 2025 04:32 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM MT6877V/TZA |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | vivo V2130 |
| Model ID | vivo V2130 |
| Motherboard | k6877v1_64_k419 |
| CPU Information | |
|---|---|
| Name | ARM MT6877V/TZA |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3393 revision 0 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 6 Cores @ 2.00 GHz |
| Cluster 2 | 2 Cores @ 2.50 GHz |
| Memory Information | |
|---|---|
| Size | 11.31 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
196
36.5 IPS |
|
|
Image Classification (HP)
|
100% |
201
37.4 IPS |
|
|
Image Classification (Q)
|
100% |
598
111.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
260
4.21 IPS |
|
|
Image Segmentation (HP)
|
100% |
256
4.16 IPS |
|
|
Image Segmentation (Q)
|
98% |
696
11.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
1010
1.18 IPS |
|
|
Pose Estimation (HP)
|
100% |
986
1.15 IPS |
|
|
Pose Estimation (Q)
|
84% |
1473
1.75 IPS |
|
|
Object Detection (SP)
|
100% |
196
15.6 IPS |
|
|
Object Detection (HP)
|
100% |
195
15.5 IPS |
|
|
Object Detection (Q)
|
83% |
556
44.9 IPS |
|
|
Face Detection (SP)
|
100% |
676
8.03 IPS |
|
|
Face Detection (HP)
|
100% |
669
7.95 IPS |
|
|
Face Detection (Q)
|
95% |
1429
17.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
847
6.52 IPS |
|
|
Depth Estimation (HP)
|
99% |
816
6.29 IPS |
|
|
Depth Estimation (Q)
|
64% |
1304
11.9 IPS |
|
|
Style Transfer (SP)
|
89% |
1625
2.11 IPS |
|
|
Style Transfer (HP)
|
89% |
1618
2.10 IPS |
|
|
Style Transfer (Q)
|
98% |
3302
4.26 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
443
16.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
440
16.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
788
29.2 IPS |
|
|
Text Classification (SP)
|
100% |
226
302.3 IPS |
|
|
Text Classification (HP)
|
100% |
229
306.3 IPS |
|
|
Text Classification (Q)
|
88% |
484
652.5 IPS |
|
|
Machine Translation (SP)
|
100% |
380
6.54 IPS |
|
|
Machine Translation (HP)
|
100% |
367
6.32 IPS |
|
|
Machine Translation (Q)
|
50% |
288
10.2 IPS |
