vivo V2243A
Geekbench AI Score
374
Single Precision Score
16303
Half Precision Score
36517
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | 2310145622 |
| Upload Date | October 26 2025 04:52 PM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | QNN |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | vivo V2243A |
| Model ID | vivo V2243A |
| Motherboard | kalama |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3406 revision 0 |
| Base Frequency | 2.02 GHz |
| Cluster 1 | 3 Cores @ 2.02 GHz |
| Cluster 2 | 4 Cores @ 2.80 GHz |
| Cluster 3 | 1 Core @ 3.19 GHz |
| Memory Information | |
|---|---|
| Size | 14.86 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
222
41.4 IPS |
|
|
Image Classification (HP)
|
100% |
12815
2.38 KIPS |
|
|
Image Classification (Q)
|
97% |
32310
6.03 KIPS |
|
|
Image Segmentation (SP)
|
100% |
280
4.53 IPS |
|
|
Image Segmentation (HP)
|
100% |
7844
127.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
20767
337.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
399
0.47 IPS |
|
|
Pose Estimation (HP)
|
100% |
71773
83.7 IPS |
|
|
Pose Estimation (Q)
|
98% |
293461
343.5 IPS |
|
|
Object Detection (SP)
|
100% |
228
18.1 IPS |
|
|
Object Detection (HP)
|
100% |
12069
957.3 IPS |
|
|
Object Detection (Q)
|
86% |
13176
1.06 KIPS |
|
|
Face Detection (SP)
|
100% |
554
6.58 IPS |
|
|
Face Detection (HP)
|
100% |
24875
295.6 IPS |
|
|
Face Detection (Q)
|
97% |
83267
993.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
492
3.79 IPS |
|
|
Depth Estimation (HP)
|
99% |
44945
346.3 IPS |
|
|
Depth Estimation (Q)
|
63% |
81647
764.5 IPS |
|
|
Style Transfer (SP)
|
100% |
810
1.04 IPS |
|
|
Style Transfer (HP)
|
98% |
60956
78.6 IPS |
|
|
Style Transfer (Q)
|
98% |
292300
376.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
257
9.50 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
32567
1.20 KIPS |
|
|
Image Super-Resolution (Q)
|
97% |
81903
3.03 KIPS |
|
|
Text Classification (SP)
|
100% |
319
426.1 IPS |
|
|
Text Classification (HP)
|
100% |
2478
3.31 KIPS |
|
|
Text Classification (Q)
|
93% |
5604
7.52 KIPS |
|
|
Machine Translation (SP)
|
100% |
529
9.11 IPS |
|
|
Machine Translation (HP)
|
100% |
2771
47.7 IPS |
|
|
Machine Translation (Q)
|
55% |
1782
46.7 IPS |
