vivo V2238A
Geekbench AI Score
1079
Single Precision Score
1097
Half Precision Score
2216
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | bulldemonking |
| Upload Date | June 30 2025 07:08 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | vivo V2238A |
| Model ID | vivo V2238A |
| 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% |
540
100.4 IPS |
|
|
Image Classification (HP)
|
100% |
565
105.1 IPS |
|
|
Image Classification (Q)
|
100% |
1629
303.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
621
10.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
609
9.87 IPS |
|
|
Image Segmentation (Q)
|
98% |
1968
32.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
2079
2.43 IPS |
|
|
Pose Estimation (HP)
|
100% |
2319
2.71 IPS |
|
|
Pose Estimation (Q)
|
84% |
3974
4.71 IPS |
|
|
Object Detection (SP)
|
100% |
515
40.9 IPS |
|
|
Object Detection (HP)
|
100% |
506
40.1 IPS |
|
|
Object Detection (Q)
|
83% |
1426
115.2 IPS |
|
|
Face Detection (SP)
|
100% |
1672
19.9 IPS |
|
|
Face Detection (HP)
|
100% |
1637
19.5 IPS |
|
|
Face Detection (Q)
|
95% |
3722
44.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
1593
12.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
1792
13.8 IPS |
|
|
Depth Estimation (Q)
|
64% |
3605
33.0 IPS |
|
|
Style Transfer (SP)
|
89% |
4272
5.55 IPS |
|
|
Style Transfer (HP)
|
89% |
4210
5.47 IPS |
|
|
Style Transfer (Q)
|
98% |
9097
11.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1039
38.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1055
38.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2200
81.5 IPS |
|
|
Text Classification (SP)
|
100% |
574
766.3 IPS |
|
|
Text Classification (HP)
|
100% |
572
763.2 IPS |
|
|
Text Classification (Q)
|
88% |
1025
1.38 KIPS |
|
|
Machine Translation (SP)
|
100% |
879
15.1 IPS |
|
|
Machine Translation (HP)
|
100% |
844
14.5 IPS |
|
|
Machine Translation (Q)
|
50% |
573
20.3 IPS |
