vivo V2441
Geekbench AI Score
149
Single Precision Score
233
Half Precision Score
208
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 11 2025 06:01 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | vivo V2441 |
| Model ID | vivo V2441 |
| Motherboard | bengal |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3337 revision 0 |
| Base Frequency | 1.90 GHz |
| Cluster 1 | 4 Cores @ 1.90 GHz |
| Cluster 2 | 4 Cores @ 2.80 GHz |
| Memory Information | |
|---|---|
| Size | 7.42 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
108
20.0 IPS |
|
|
Image Classification (HP)
|
100% |
178
33.1 IPS |
|
|
Image Classification (Q)
|
99% |
165
30.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
154
2.49 IPS |
|
|
Image Segmentation (HP)
|
100% |
247
4.00 IPS |
|
|
Image Segmentation (Q)
|
98% |
232
3.77 IPS |
|
|
Pose Estimation (SP)
|
100% |
535
0.62 IPS |
|
|
Pose Estimation (HP)
|
99% |
885
1.03 IPS |
|
|
Pose Estimation (Q)
|
97% |
875
1.02 IPS |
|
|
Object Detection (SP)
|
100% |
91
7.18 IPS |
|
|
Object Detection (HP)
|
99% |
142
11.3 IPS |
|
|
Object Detection (Q)
|
85% |
136
11.0 IPS |
|
|
Face Detection (SP)
|
100% |
333
3.95 IPS |
|
|
Face Detection (HP)
|
100% |
525
6.24 IPS |
|
|
Face Detection (Q)
|
97% |
464
5.53 IPS |
|
|
Depth Estimation (SP)
|
100% |
338
2.60 IPS |
|
|
Depth Estimation (HP)
|
98% |
514
3.97 IPS |
|
|
Depth Estimation (Q)
|
63% |
415
3.83 IPS |
|
|
Style Transfer (SP)
|
100% |
786
1.01 IPS |
|
|
Style Transfer (HP)
|
100% |
1223
1.57 IPS |
|
|
Style Transfer (Q)
|
98% |
1158
1.49 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
133
4.90 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
206
7.60 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
185
6.85 IPS |
|
|
Text Classification (SP)
|
35% |
6
61.3 IPS |
|
|
Text Classification (HP)
|
35% |
10
88.6 IPS |
|
|
Text Classification (Q)
|
35% |
9
85.4 IPS |
|
|
Machine Translation (SP)
|
100% |
100
1.73 IPS |
|
|
Machine Translation (HP)
|
97% |
130
2.25 IPS |
|
|
Machine Translation (Q)
|
64% |
90
1.84 IPS |
