vivo V2440
Geekbench AI Score
527
Single Precision Score
524
Half Precision Score
1009
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | May 19 2025 10:36 AM |
| Views | 3 |
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 | 7.46 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
240
44.6 IPS |
|
|
Image Classification (HP)
|
100% |
239
44.4 IPS |
|
|
Image Classification (Q)
|
100% |
694
129.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
286
4.64 IPS |
|
|
Image Segmentation (HP)
|
100% |
286
4.64 IPS |
|
|
Image Segmentation (Q)
|
98% |
743
12.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
1138
1.33 IPS |
|
|
Pose Estimation (HP)
|
100% |
1133
1.32 IPS |
|
|
Pose Estimation (Q)
|
84% |
1774
2.10 IPS |
|
|
Object Detection (SP)
|
100% |
238
18.9 IPS |
|
|
Object Detection (HP)
|
100% |
238
18.9 IPS |
|
|
Object Detection (Q)
|
83% |
689
55.7 IPS |
|
|
Face Detection (SP)
|
100% |
742
8.82 IPS |
|
|
Face Detection (HP)
|
100% |
742
8.82 IPS |
|
|
Face Detection (Q)
|
95% |
1568
18.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
934
7.20 IPS |
|
|
Depth Estimation (HP)
|
99% |
911
7.02 IPS |
|
|
Depth Estimation (Q)
|
64% |
1619
14.8 IPS |
|
|
Style Transfer (SP)
|
89% |
1955
2.54 IPS |
|
|
Style Transfer (HP)
|
89% |
1959
2.54 IPS |
|
|
Style Transfer (Q)
|
98% |
4031
5.20 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
472
17.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
475
17.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
983
36.4 IPS |
|
|
Text Classification (SP)
|
100% |
284
379.6 IPS |
|
|
Text Classification (HP)
|
100% |
280
373.6 IPS |
|
|
Text Classification (Q)
|
88% |
513
691.5 IPS |
|
|
Machine Translation (SP)
|
100% |
491
8.46 IPS |
|
|
Machine Translation (HP)
|
100% |
483
8.33 IPS |
|
|
Machine Translation (Q)
|
50% |
338
12.0 IPS |
