vivo V2219
Geekbench AI Score
446
Single Precision Score
2281
Half Precision Score
3211
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | joesep |
| Upload Date | May 20 2025 07:42 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| 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% |
543
101.0 IPS |
|
|
Image Classification (HP)
|
100% |
2556
475.4 IPS |
|
|
Image Classification (Q)
|
99% |
6352
1.18 KIPS |
|
|
Image Segmentation (SP)
|
100% |
380
6.16 IPS |
|
|
Image Segmentation (HP)
|
100% |
2545
41.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
1254
20.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
3056
3.57 IPS |
|
|
Pose Estimation (HP)
|
100% |
8100
9.45 IPS |
|
|
Pose Estimation (Q)
|
95% |
32823
38.5 IPS |
|
|
Object Detection (SP)
|
100% |
420
33.3 IPS |
|
|
Object Detection (HP)
|
100% |
2245
178.1 IPS |
|
|
Object Detection (Q)
|
86% |
3537
284.5 IPS |
|
|
Face Detection (SP)
|
28% |
43
8.06 IPS |
|
|
Face Detection (HP)
|
100% |
6737
80.0 IPS |
|
|
Face Detection (Q)
|
97% |
10101
120.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
846
6.52 IPS |
|
|
Depth Estimation (HP)
|
99% |
9880
76.1 IPS |
|
|
Depth Estimation (Q)
|
62% |
22843
216.9 IPS |
|
|
Style Transfer (SP)
|
100% |
2081
2.68 IPS |
|
|
Style Transfer (HP)
|
100% |
668
0.86 IPS |
|
|
Style Transfer (Q)
|
30% |
418
6.30 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1144
42.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5275
194.8 IPS |
|
|
Image Super-Resolution (Q)
|
41% |
4235
616.9 IPS |
|
|
Text Classification (SP)
|
100% |
54
72.7 IPS |
|
|
Text Classification (HP)
|
100% |
314
419.4 IPS |
|
|
Text Classification (Q)
|
93% |
928
1.25 KIPS |
|
|
Machine Translation (SP)
|
100% |
256
4.41 IPS |
|
|
Machine Translation (HP)
|
100% |
439
7.57 IPS |
|
|
Machine Translation (Q)
|
60% |
333
7.49 IPS |
