vivo V2111
Geekbench AI Score
264
Single Precision Score
241
Half Precision Score
266
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | September 19 2024 05:35 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM MT6765V/CB |
| System Information | |
|---|---|
| Operating System | Android 12 |
| Model | vivo V2111 |
| Model ID | vivo V2111 |
| 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% |
148
27.5 IPS |
|
|
Image Classification (HP)
|
100% |
115
21.4 IPS |
|
|
Image Classification (Q)
|
100% |
181
33.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
185
3.00 IPS |
|
|
Image Segmentation (HP)
|
100% |
154
2.50 IPS |
|
|
Image Segmentation (Q)
|
98% |
313
5.09 IPS |
|
|
Pose Estimation (SP)
|
100% |
648
0.76 IPS |
|
|
Pose Estimation (HP)
|
100% |
570
0.67 IPS |
|
|
Pose Estimation (Q)
|
84% |
453
0.54 IPS |
|
|
Object Detection (SP)
|
100% |
140
11.1 IPS |
|
|
Object Detection (HP)
|
100% |
139
11.0 IPS |
|
|
Object Detection (Q)
|
83% |
171
13.8 IPS |
|
|
Face Detection (SP)
|
100% |
335
3.98 IPS |
|
|
Face Detection (HP)
|
100% |
286
3.40 IPS |
|
|
Face Detection (Q)
|
95% |
450
5.37 IPS |
|
|
Depth Estimation (SP)
|
100% |
465
3.59 IPS |
|
|
Depth Estimation (HP)
|
99% |
469
3.62 IPS |
|
|
Depth Estimation (Q)
|
64% |
454
4.16 IPS |
|
|
Style Transfer (SP)
|
89% |
1185
1.54 IPS |
|
|
Style Transfer (HP)
|
89% |
1176
1.53 IPS |
|
|
Style Transfer (Q)
|
98% |
1110
1.43 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
193
7.11 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
211
7.77 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
246
9.12 IPS |
|
|
Text Classification (SP)
|
100% |
103
136.9 IPS |
|
|
Text Classification (HP)
|
100% |
97
129.9 IPS |
|
|
Text Classification (Q)
|
88% |
110
147.8 IPS |
|
|
Machine Translation (SP)
|
100% |
184
3.17 IPS |
|
|
Machine Translation (HP)
|
100% |
151
2.59 IPS |
|
|
Machine Translation (Q)
|
50% |
68
2.41 IPS |
