vivo V2254
Geekbench AI Score
196
Single Precision Score
188
Half Precision Score
231
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | January 05 2025 03:57 AM |
| Views | 1 |
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% |
84
15.7 IPS |
|
|
Image Classification (HP)
|
100% |
80
15.0 IPS |
|
|
Image Classification (Q)
|
100% |
130
24.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
149
2.42 IPS |
|
|
Image Segmentation (HP)
|
100% |
157
2.54 IPS |
|
|
Image Segmentation (Q)
|
98% |
139
2.26 IPS |
|
|
Pose Estimation (SP)
|
100% |
300
0.35 IPS |
|
|
Pose Estimation (HP)
|
100% |
285
0.33 IPS |
|
|
Pose Estimation (Q)
|
84% |
360
0.43 IPS |
|
|
Object Detection (SP)
|
100% |
106
8.38 IPS |
|
|
Object Detection (HP)
|
100% |
62
4.95 IPS |
|
|
Object Detection (Q)
|
83% |
175
14.1 IPS |
|
|
Face Detection (SP)
|
100% |
301
3.58 IPS |
|
|
Face Detection (HP)
|
100% |
292
3.47 IPS |
|
|
Face Detection (Q)
|
95% |
530
6.32 IPS |
|
|
Depth Estimation (SP)
|
100% |
284
2.19 IPS |
|
|
Depth Estimation (HP)
|
99% |
385
2.96 IPS |
|
|
Depth Estimation (Q)
|
64% |
411
3.77 IPS |
|
|
Style Transfer (SP)
|
89% |
1001
1.30 IPS |
|
|
Style Transfer (HP)
|
89% |
887
1.15 IPS |
|
|
Style Transfer (Q)
|
98% |
871
1.12 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
178
6.56 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
172
6.35 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
220
8.15 IPS |
|
|
Text Classification (SP)
|
100% |
104
139.3 IPS |
|
|
Text Classification (HP)
|
100% |
102
136.3 IPS |
|
|
Text Classification (Q)
|
88% |
140
188.5 IPS |
|
|
Machine Translation (SP)
|
100% |
133
2.29 IPS |
|
|
Machine Translation (HP)
|
100% |
149
2.56 IPS |
|
|
Machine Translation (Q)
|
50% |
66
2.33 IPS |
