vivo V2352A
Geekbench AI Score
1319
Single Precision Score
1372
Half Precision Score
1728
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 15 2025 04:09 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | vivo V2352A |
| Model ID | vivo V2352A |
| Motherboard | pineapple |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 0 part 3458 revision 1 |
| Base Frequency | 2.02 GHz |
| Cluster 1 | 3 Cores @ 2.02 GHz |
| Cluster 2 | 4 Cores @ 2.80 GHz |
| Cluster 3 | 1 Core @ 3.01 GHz |
| Memory Information | |
|---|---|
| Size | 11.03 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1457
270.9 IPS |
|
|
Image Classification (HP)
|
100% |
1325
246.4 IPS |
|
|
Image Classification (Q)
|
100% |
960
178.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
635
10.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
545
8.83 IPS |
|
|
Image Segmentation (Q)
|
98% |
2686
43.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
2079
2.43 IPS |
|
|
Pose Estimation (HP)
|
100% |
2816
3.29 IPS |
|
|
Pose Estimation (Q)
|
84% |
2788
3.31 IPS |
|
|
Object Detection (SP)
|
98% |
1114
88.7 IPS |
|
|
Object Detection (HP)
|
98% |
619
49.3 IPS |
|
|
Object Detection (Q)
|
83% |
963
77.8 IPS |
|
|
Face Detection (SP)
|
100% |
1033
12.3 IPS |
|
|
Face Detection (HP)
|
100% |
2394
28.4 IPS |
|
|
Face Detection (Q)
|
95% |
2104
25.1 IPS |
|
|
Depth Estimation (SP)
|
99% |
2412
18.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
2434
18.8 IPS |
|
|
Depth Estimation (Q)
|
64% |
3926
36.0 IPS |
|
|
Style Transfer (SP)
|
89% |
6409
8.32 IPS |
|
|
Style Transfer (HP)
|
89% |
6929
9.00 IPS |
|
|
Style Transfer (Q)
|
98% |
5403
6.97 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1163
42.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1220
45.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3359
124.5 IPS |
|
|
Text Classification (SP)
|
100% |
358
478.3 IPS |
|
|
Text Classification (HP)
|
99% |
351
468.9 IPS |
|
|
Text Classification (Q)
|
88% |
598
806.4 IPS |
|
|
Machine Translation (SP)
|
100% |
1122
19.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1090
18.8 IPS |
|
|
Machine Translation (Q)
|
50% |
384
13.6 IPS |
