vivo V2441
Geekbench AI Score
368
Single Precision Score
368
Half Precision Score
465
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 03 2025 07:05 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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% |
198
36.8 IPS |
|
|
Image Classification (HP)
|
100% |
197
36.7 IPS |
|
|
Image Classification (Q)
|
100% |
366
68.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
246
3.99 IPS |
|
|
Image Segmentation (HP)
|
100% |
245
3.98 IPS |
|
|
Image Segmentation (Q)
|
98% |
459
7.47 IPS |
|
|
Pose Estimation (SP)
|
100% |
927
1.08 IPS |
|
|
Pose Estimation (HP)
|
100% |
927
1.08 IPS |
|
|
Pose Estimation (Q)
|
84% |
814
0.97 IPS |
|
|
Object Detection (SP)
|
100% |
189
15.0 IPS |
|
|
Object Detection (HP)
|
100% |
190
15.0 IPS |
|
|
Object Detection (Q)
|
83% |
363
29.3 IPS |
|
|
Face Detection (SP)
|
100% |
512
6.08 IPS |
|
|
Face Detection (HP)
|
100% |
513
6.10 IPS |
|
|
Face Detection (Q)
|
95% |
845
10.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
675
5.20 IPS |
|
|
Depth Estimation (HP)
|
99% |
671
5.17 IPS |
|
|
Depth Estimation (Q)
|
64% |
845
7.74 IPS |
|
|
Style Transfer (SP)
|
89% |
1610
2.09 IPS |
|
|
Style Transfer (HP)
|
89% |
1606
2.09 IPS |
|
|
Style Transfer (Q)
|
98% |
2160
2.79 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
389
14.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
388
14.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
476
17.6 IPS |
|
|
Text Classification (SP)
|
100% |
123
164.8 IPS |
|
|
Text Classification (HP)
|
100% |
126
168.2 IPS |
|
|
Text Classification (Q)
|
88% |
138
185.8 IPS |
|
|
Machine Translation (SP)
|
100% |
204
3.51 IPS |
|
|
Machine Translation (HP)
|
100% |
201
3.46 IPS |
|
|
Machine Translation (Q)
|
50% |
96
3.40 IPS |
