vivo V2196A
Geekbench AI Score
766
Single Precision Score
1236
Half Precision Score
1188
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 15 2025 04:56 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
698
129.8 IPS |
|
|
Image Classification (HP)
|
100% |
920
171.1 IPS |
|
|
Image Classification (Q)
|
99% |
855
159.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1112
18.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1927
31.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
1600
26.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
3953
4.61 IPS |
|
|
Pose Estimation (HP)
|
99% |
6400
7.47 IPS |
|
|
Pose Estimation (Q)
|
97% |
6209
7.27 IPS |
|
|
Object Detection (SP)
|
100% |
375
29.8 IPS |
|
|
Object Detection (HP)
|
99% |
545
43.2 IPS |
|
|
Object Detection (Q)
|
85% |
523
42.1 IPS |
|
|
Face Detection (SP)
|
100% |
1481
17.6 IPS |
|
|
Face Detection (HP)
|
100% |
2869
34.1 IPS |
|
|
Face Detection (Q)
|
97% |
2521
30.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
1805
13.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
3069
23.7 IPS |
|
|
Depth Estimation (Q)
|
65% |
2521
22.7 IPS |
|
|
Style Transfer (SP)
|
100% |
4038
5.19 IPS |
|
|
Style Transfer (HP)
|
100% |
8386
10.8 IPS |
|
|
Style Transfer (Q)
|
98% |
8513
11.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
686
25.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1459
53.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1375
50.9 IPS |
|
|
Text Classification (SP)
|
35% |
28
276.5 IPS |
|
|
Text Classification (HP)
|
35% |
40
364.6 IPS |
|
|
Text Classification (Q)
|
35% |
38
346.6 IPS |
|
|
Machine Translation (SP)
|
100% |
293
5.05 IPS |
|
|
Machine Translation (HP)
|
97% |
313
5.42 IPS |
|
|
Machine Translation (Q)
|
64% |
448
9.21 IPS |
