vivo V2196A
Geekbench AI Score
842
Single Precision Score
822
Half Precision Score
1962
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 15 2025 04:49 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | vivo V2196A |
| Model ID | vivo V2196A |
| Motherboard | taro |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 2 part 3400 revision 0 |
| Base Frequency | 1.78 GHz |
| Cluster 1 | 4 Cores @ 1.79 GHz |
| Cluster 2 | 3 Cores @ 2.50 GHz |
| Cluster 3 | 1 Core @ 3.00 GHz |
| Memory Information | |
|---|---|
| Size | 7.11 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
406
75.6 IPS |
|
|
Image Classification (HP)
|
100% |
386
71.7 IPS |
|
|
Image Classification (Q)
|
100% |
1583
294.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
488
7.92 IPS |
|
|
Image Segmentation (HP)
|
100% |
468
7.58 IPS |
|
|
Image Segmentation (Q)
|
98% |
1701
27.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
1718
2.00 IPS |
|
|
Pose Estimation (HP)
|
100% |
1653
1.93 IPS |
|
|
Pose Estimation (Q)
|
84% |
3465
4.11 IPS |
|
|
Object Detection (SP)
|
100% |
353
28.0 IPS |
|
|
Object Detection (HP)
|
100% |
355
28.2 IPS |
|
|
Object Detection (Q)
|
83% |
1454
117.5 IPS |
|
|
Face Detection (SP)
|
100% |
1256
14.9 IPS |
|
|
Face Detection (HP)
|
100% |
1239
14.7 IPS |
|
|
Face Detection (Q)
|
95% |
3280
39.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
1538
11.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
1531
11.8 IPS |
|
|
Depth Estimation (Q)
|
64% |
3064
28.1 IPS |
|
|
Style Transfer (SP)
|
89% |
2954
3.83 IPS |
|
|
Style Transfer (HP)
|
89% |
2843
3.69 IPS |
|
|
Style Transfer (Q)
|
98% |
8001
10.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
971
35.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
927
34.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2062
76.4 IPS |
|
|
Text Classification (SP)
|
100% |
452
603.8 IPS |
|
|
Text Classification (HP)
|
100% |
452
603.5 IPS |
|
|
Text Classification (Q)
|
88% |
870
1.17 KIPS |
|
|
Machine Translation (SP)
|
100% |
602
10.4 IPS |
|
|
Machine Translation (HP)
|
100% |
593
10.2 IPS |
|
|
Machine Translation (Q)
|
50% |
433
15.4 IPS |
