vivo V2249
Geekbench AI Score
254
Single Precision Score
250
Half Precision Score
389
Quantized Score
Geekbench AI 1.0.0 for Android AArch64
Result Information
| Upload Date | September 05 2024 01:23 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | vivo V2249 |
| Model ID | vivo V2249 |
| Motherboard | k69v1_64_k510 |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 3 part 3338 revision 1 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 6 Cores @ 1.80 GHz |
| Cluster 2 | 2 Cores @ 2.00 GHz |
| Memory Information | |
|---|---|
| Size | 5.59 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
141
26.3 IPS |
|
|
Image Classification (HP)
|
100% |
143
26.6 IPS |
|
|
Image Classification (Q)
|
100% |
434
80.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
183
2.97 IPS |
|
|
Image Segmentation (HP)
|
100% |
175
2.84 IPS |
|
|
Image Segmentation (Q)
|
98% |
537
8.73 IPS |
|
|
Pose Estimation (SP)
|
100% |
707
0.83 IPS |
|
|
Pose Estimation (HP)
|
100% |
554
0.65 IPS |
|
|
Pose Estimation (Q)
|
84% |
609
0.72 IPS |
|
|
Object Detection (SP)
|
100% |
161
12.7 IPS |
|
|
Object Detection (HP)
|
100% |
161
12.7 IPS |
|
|
Object Detection (Q)
|
87% |
258
20.7 IPS |
|
|
Face Detection (SP)
|
100% |
294
3.50 IPS |
|
|
Face Detection (HP)
|
100% |
322
3.83 IPS |
|
|
Face Detection (Q)
|
95% |
662
7.91 IPS |
|
|
Depth Estimation (SP)
|
100% |
372
2.87 IPS |
|
|
Depth Estimation (HP)
|
100% |
422
3.25 IPS |
|
|
Depth Estimation (Q)
|
75% |
665
5.40 IPS |
|
|
Style Transfer (SP)
|
89% |
1079
1.40 IPS |
|
|
Style Transfer (HP)
|
89% |
1118
1.45 IPS |
|
|
Style Transfer (Q)
|
98% |
1531
1.97 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
199
7.36 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
206
7.60 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
332
12.3 IPS |
|
|
Text Classification (SP)
|
100% |
94
126.0 IPS |
|
|
Text Classification (HP)
|
100% |
90
119.9 IPS |
|
|
Text Classification (Q)
|
88% |
127
170.8 IPS |
|
|
Machine Translation (SP)
|
100% |
174
2.99 IPS |
|
|
Machine Translation (HP)
|
100% |
157
2.71 IPS |
|
|
Machine Translation (Q)
|
50% |
78
2.78 IPS |
