vivo V2245A
Geekbench AI Score
530
Single Precision Score
736
Half Precision Score
552
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | 46fy45 |
| Upload Date | October 25 2025 09:29 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | vivo V2245A |
| Model ID | vivo V2245A |
| Motherboard | k6895v1_64 |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3393 revision 1 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 4 Cores @ 2.00 GHz |
| Cluster 2 | 3 Cores @ 3.00 GHz |
| Cluster 3 | 1 Core @ 3.10 GHz |
| Memory Information | |
|---|---|
| Size | 11.16 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
196
36.5 IPS |
|
|
Image Classification (HP)
|
100% |
275
51.1 IPS |
|
|
Image Classification (Q)
|
97% |
244
45.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1045
16.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1626
26.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
918
14.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
4273
4.99 IPS |
|
|
Pose Estimation (HP)
|
100% |
8857
10.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
8916
10.4 IPS |
|
|
Object Detection (SP)
|
100% |
186
14.8 IPS |
|
|
Object Detection (HP)
|
99% |
254
20.2 IPS |
|
|
Object Detection (Q)
|
83% |
257
20.7 IPS |
|
|
Face Detection (SP)
|
100% |
981
11.7 IPS |
|
|
Face Detection (HP)
|
100% |
1155
13.7 IPS |
|
|
Face Detection (Q)
|
96% |
988
11.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
2402
18.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
3030
23.4 IPS |
|
|
Depth Estimation (Q)
|
62% |
1988
18.9 IPS |
|
|
Style Transfer (SP)
|
100% |
5939
7.64 IPS |
|
|
Style Transfer (HP)
|
100% |
13805
17.7 IPS |
|
|
Style Transfer (Q)
|
98% |
12169
15.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
501
18.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
689
25.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
637
23.6 IPS |
|
|
Text Classification (SP)
|
35% |
9
79.7 IPS |
|
|
Text Classification (HP)
|
29% |
6
104.2 IPS |
|
|
Text Classification (Q)
|
29% |
6
100.8 IPS |
|
|
Machine Translation (SP)
|
100% |
172
2.95 IPS |
|
|
Machine Translation (HP)
|
100% |
234
4.04 IPS |
|
|
Machine Translation (Q)
|
43% |
57
3.31 IPS |
