vivo V2254
Geekbench AI Score
237
Single Precision Score
239
Half Precision Score
284
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | January 01 2025 04:08 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% |
126
23.5 IPS |
|
|
Image Classification (HP)
|
100% |
127
23.6 IPS |
|
|
Image Classification (Q)
|
100% |
215
39.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
156
2.53 IPS |
|
|
Image Segmentation (HP)
|
100% |
164
2.66 IPS |
|
|
Image Segmentation (Q)
|
98% |
264
4.30 IPS |
|
|
Pose Estimation (SP)
|
100% |
644
0.75 IPS |
|
|
Pose Estimation (HP)
|
100% |
558
0.65 IPS |
|
|
Pose Estimation (Q)
|
84% |
455
0.54 IPS |
|
|
Object Detection (SP)
|
100% |
133
10.5 IPS |
|
|
Object Detection (HP)
|
100% |
132
10.5 IPS |
|
|
Object Detection (Q)
|
83% |
176
14.2 IPS |
|
|
Face Detection (SP)
|
100% |
287
3.41 IPS |
|
|
Face Detection (HP)
|
100% |
290
3.44 IPS |
|
|
Face Detection (Q)
|
95% |
539
6.44 IPS |
|
|
Depth Estimation (SP)
|
100% |
398
3.06 IPS |
|
|
Depth Estimation (HP)
|
99% |
363
2.80 IPS |
|
|
Depth Estimation (Q)
|
64% |
434
3.97 IPS |
|
|
Style Transfer (SP)
|
89% |
1019
1.32 IPS |
|
|
Style Transfer (HP)
|
89% |
1089
1.41 IPS |
|
|
Style Transfer (Q)
|
98% |
1084
1.40 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
165
6.10 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
197
7.29 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
262
9.70 IPS |
|
|
Text Classification (SP)
|
100% |
128
171.4 IPS |
|
|
Text Classification (HP)
|
100% |
100
133.7 IPS |
|
|
Text Classification (Q)
|
88% |
135
182.1 IPS |
|
|
Machine Translation (SP)
|
100% |
140
2.41 IPS |
|
|
Machine Translation (HP)
|
100% |
179
3.08 IPS |
|
|
Machine Translation (Q)
|
50% |
85
3.03 IPS |
