vivo V2254
Geekbench AI Score
235
Single Precision Score
206
Half Precision Score
241
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | January 04 2025 06:29 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM MT6765V/CB |
| System Information | |
|---|---|
| Operating System | Android 13 |
| Model | vivo V2254 |
| Model ID | vivo V2254 |
| Motherboard | k65v1_64_bsp |
| CPU Information | |
|---|---|
| Name | ARM MT6765V/CB |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 0 part 3331 revision 4 |
| Base Frequency | 2.30 GHz |
| Cluster 1 | 4 Cores @ 1.80 GHz |
| Cluster 2 | 4 Cores @ 2.30 GHz |
| Memory Information | |
|---|---|
| Size | 3.72 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
120
22.4 IPS |
|
|
Image Classification (HP)
|
100% |
59
11.0 IPS |
|
|
Image Classification (Q)
|
100% |
151
28.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
145
2.35 IPS |
|
|
Image Segmentation (HP)
|
100% |
146
2.37 IPS |
|
|
Image Segmentation (Q)
|
98% |
292
4.75 IPS |
|
|
Pose Estimation (SP)
|
100% |
513
0.60 IPS |
|
|
Pose Estimation (HP)
|
100% |
500
0.58 IPS |
|
|
Pose Estimation (Q)
|
84% |
406
0.48 IPS |
|
|
Object Detection (SP)
|
100% |
123
9.77 IPS |
|
|
Object Detection (HP)
|
100% |
110
8.74 IPS |
|
|
Object Detection (Q)
|
83% |
169
13.7 IPS |
|
|
Face Detection (SP)
|
100% |
310
3.68 IPS |
|
|
Face Detection (HP)
|
100% |
281
3.34 IPS |
|
|
Face Detection (Q)
|
95% |
247
2.95 IPS |
|
|
Depth Estimation (SP)
|
100% |
437
3.37 IPS |
|
|
Depth Estimation (HP)
|
99% |
416
3.21 IPS |
|
|
Depth Estimation (Q)
|
64% |
441
4.04 IPS |
|
|
Style Transfer (SP)
|
89% |
1009
1.31 IPS |
|
|
Style Transfer (HP)
|
89% |
966
1.25 IPS |
|
|
Style Transfer (Q)
|
98% |
876
1.13 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
179
6.60 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
192
7.09 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
240
8.89 IPS |
|
|
Text Classification (SP)
|
100% |
127
169.8 IPS |
|
|
Text Classification (HP)
|
100% |
97
129.2 IPS |
|
|
Text Classification (Q)
|
88% |
142
191.6 IPS |
|
|
Machine Translation (SP)
|
100% |
155
2.68 IPS |
|
|
Machine Translation (HP)
|
100% |
139
2.39 IPS |
|
|
Machine Translation (Q)
|
50% |
69
2.44 IPS |
