vivo V2219
Geekbench AI Score
742
Single Precision Score
863
Half Precision Score
841
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | joesep |
| Upload Date | May 20 2025 07:34 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | vivo V2219 |
| Model ID | vivo V2219 |
| Motherboard | k6985v1_64 |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3406 revision 0 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 4 Cores @ 1.80 GHz |
| Cluster 2 | 3 Cores @ 2.85 GHz |
| Cluster 3 | 1 Core @ 3.05 GHz |
| Memory Information | |
|---|---|
| Size | 11.08 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
241
44.8 IPS |
|
|
Image Classification (HP)
|
100% |
244
45.3 IPS |
|
|
Image Classification (Q)
|
99% |
222
41.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1143
18.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1312
21.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
1249
20.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
767
0.89 IPS |
|
|
Pose Estimation (HP)
|
100% |
1155
1.35 IPS |
|
|
Pose Estimation (Q)
|
96% |
1138
1.33 IPS |
|
|
Object Detection (SP)
|
100% |
360
28.6 IPS |
|
|
Object Detection (HP)
|
100% |
379
30.1 IPS |
|
|
Object Detection (Q)
|
83% |
508
41.1 IPS |
|
|
Face Detection (SP)
|
100% |
1671
19.9 IPS |
|
|
Face Detection (HP)
|
100% |
1950
23.2 IPS |
|
|
Face Detection (Q)
|
97% |
1641
19.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
1324
10.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
1602
12.3 IPS |
|
|
Depth Estimation (Q)
|
62% |
1223
11.6 IPS |
|
|
Style Transfer (SP)
|
100% |
3684
4.74 IPS |
|
|
Style Transfer (HP)
|
100% |
5157
6.63 IPS |
|
|
Style Transfer (Q)
|
98% |
5205
6.71 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
636
23.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
750
27.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
749
27.7 IPS |
|
|
Text Classification (SP)
|
100% |
301
401.5 IPS |
|
|
Text Classification (HP)
|
100% |
313
417.5 IPS |
|
|
Text Classification (Q)
|
91% |
451
606.8 IPS |
|
|
Machine Translation (SP)
|
100% |
431
7.42 IPS |
|
|
Machine Translation (HP)
|
100% |
433
7.46 IPS |
|
|
Machine Translation (Q)
|
57% |
315
7.69 IPS |
