vivo V2304A
Geekbench AI Score
372
Single Precision Score
368
Half Precision Score
758
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | 46fy45 |
| Upload Date | January 14 2026 05:12 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | vivo V2304A |
| Model ID | vivo V2304A |
| Motherboard | kalama |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3406 revision 0 |
| Base Frequency | 2.02 GHz |
| Cluster 1 | 3 Cores @ 2.02 GHz |
| Cluster 2 | 4 Cores @ 2.80 GHz |
| Cluster 3 | 1 Core @ 3.19 GHz |
| Memory Information | |
|---|---|
| Size | 10.95 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
219
40.7 IPS |
|
|
Image Classification (HP)
|
100% |
219
40.7 IPS |
|
|
Image Classification (Q)
|
99% |
505
94.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
283
4.59 IPS |
|
|
Image Segmentation (HP)
|
100% |
281
4.56 IPS |
|
|
Image Segmentation (Q)
|
98% |
531
8.64 IPS |
|
|
Pose Estimation (SP)
|
100% |
406
0.47 IPS |
|
|
Pose Estimation (HP)
|
100% |
404
0.47 IPS |
|
|
Pose Estimation (Q)
|
98% |
1483
1.74 IPS |
|
|
Object Detection (SP)
|
100% |
215
17.0 IPS |
|
|
Object Detection (HP)
|
100% |
217
17.2 IPS |
|
|
Object Detection (Q)
|
87% |
562
45.1 IPS |
|
|
Face Detection (SP)
|
100% |
556
6.61 IPS |
|
|
Face Detection (HP)
|
100% |
560
6.65 IPS |
|
|
Face Detection (Q)
|
97% |
1101
13.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
497
3.83 IPS |
|
|
Depth Estimation (HP)
|
99% |
498
3.84 IPS |
|
|
Depth Estimation (Q)
|
64% |
1087
9.86 IPS |
|
|
Style Transfer (SP)
|
100% |
812
1.04 IPS |
|
|
Style Transfer (HP)
|
100% |
773
0.99 IPS |
|
|
Style Transfer (Q)
|
98% |
1746
2.25 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
257
9.47 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
238
8.80 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
865
32.0 IPS |
|
|
Text Classification (SP)
|
100% |
316
421.2 IPS |
|
|
Text Classification (HP)
|
100% |
317
423.6 IPS |
|
|
Text Classification (Q)
|
91% |
454
610.7 IPS |
|
|
Machine Translation (SP)
|
100% |
522
9.00 IPS |
|
|
Machine Translation (HP)
|
100% |
529
9.11 IPS |
|
|
Machine Translation (Q)
|
57% |
342
8.36 IPS |
