vivo V2440
Geekbench AI Score
465
Single Precision Score
463
Half Precision Score
868
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | April 22 2025 11:43 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | vivo V2440 |
| Model ID | vivo V2440 |
| Motherboard | k6835v2_64 |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 4 part 3339 revision 0 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 6 Cores @ 2.00 GHz |
| Cluster 2 | 2 Cores @ 2.40 GHz |
| Memory Information | |
|---|---|
| Size | 11.37 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
227
42.2 IPS |
|
|
Image Classification (HP)
|
100% |
235
43.7 IPS |
|
|
Image Classification (Q)
|
100% |
681
126.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
284
4.60 IPS |
|
|
Image Segmentation (HP)
|
100% |
284
4.61 IPS |
|
|
Image Segmentation (Q)
|
98% |
732
11.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
1111
1.30 IPS |
|
|
Pose Estimation (HP)
|
100% |
1104
1.29 IPS |
|
|
Pose Estimation (Q)
|
84% |
1726
2.05 IPS |
|
|
Object Detection (SP)
|
100% |
205
16.2 IPS |
|
|
Object Detection (HP)
|
100% |
205
16.2 IPS |
|
|
Object Detection (Q)
|
83% |
582
47.0 IPS |
|
|
Face Detection (SP)
|
100% |
669
7.95 IPS |
|
|
Face Detection (HP)
|
100% |
668
7.94 IPS |
|
|
Face Detection (Q)
|
95% |
1319
15.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
767
5.91 IPS |
|
|
Depth Estimation (HP)
|
99% |
750
5.78 IPS |
|
|
Depth Estimation (Q)
|
64% |
1298
11.9 IPS |
|
|
Style Transfer (SP)
|
89% |
1625
2.11 IPS |
|
|
Style Transfer (HP)
|
89% |
1621
2.10 IPS |
|
|
Style Transfer (Q)
|
98% |
3181
4.10 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
406
15.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
407
15.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
786
29.1 IPS |
|
|
Text Classification (SP)
|
100% |
234
312.6 IPS |
|
|
Text Classification (HP)
|
100% |
228
304.8 IPS |
|
|
Text Classification (Q)
|
88% |
409
552.2 IPS |
|
|
Machine Translation (SP)
|
100% |
412
7.10 IPS |
|
|
Machine Translation (HP)
|
100% |
406
6.99 IPS |
|
|
Machine Translation (Q)
|
50% |
278
9.86 IPS |
