vivo V2240
Geekbench AI Score
410
Single Precision Score
409
Half Precision Score
731
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | December 26 2024 07:32 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM Qualcomm |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | vivo V2240 |
| Model ID | vivo V2240 |
| Motherboard | holi |
| Governor | schedutil |
| CPU Information | |
|---|---|
| Name | ARM Qualcomm |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3393 revision 1 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 6 Cores @ 1.80 GHz |
| Cluster 2 | 2 Cores @ 2.21 GHz |
| Memory Information | |
|---|---|
| Size | 5.32 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
172
32.0 IPS |
|
|
Image Classification (HP)
|
100% |
172
32.1 IPS |
|
|
Image Classification (Q)
|
100% |
491
91.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
230
3.73 IPS |
|
|
Image Segmentation (HP)
|
100% |
227
3.69 IPS |
|
|
Image Segmentation (Q)
|
98% |
575
9.35 IPS |
|
|
Pose Estimation (SP)
|
100% |
893
1.04 IPS |
|
|
Pose Estimation (HP)
|
100% |
896
1.05 IPS |
|
|
Pose Estimation (Q)
|
84% |
1192
1.41 IPS |
|
|
Object Detection (SP)
|
100% |
172
13.6 IPS |
|
|
Object Detection (HP)
|
100% |
172
13.6 IPS |
|
|
Object Detection (Q)
|
83% |
487
39.3 IPS |
|
|
Face Detection (SP)
|
100% |
617
7.33 IPS |
|
|
Face Detection (HP)
|
100% |
615
7.31 IPS |
|
|
Face Detection (Q)
|
95% |
1149
13.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
802
6.18 IPS |
|
|
Depth Estimation (HP)
|
99% |
808
6.23 IPS |
|
|
Depth Estimation (Q)
|
64% |
1113
10.2 IPS |
|
|
Style Transfer (SP)
|
89% |
1489
1.93 IPS |
|
|
Style Transfer (HP)
|
89% |
1487
1.93 IPS |
|
|
Style Transfer (Q)
|
98% |
2820
3.64 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
427
15.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
426
15.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
684
25.3 IPS |
|
|
Text Classification (SP)
|
100% |
201
268.8 IPS |
|
|
Text Classification (HP)
|
100% |
200
267.1 IPS |
|
|
Text Classification (Q)
|
88% |
386
521.1 IPS |
|
|
Machine Translation (SP)
|
100% |
355
6.11 IPS |
|
|
Machine Translation (HP)
|
100% |
351
6.05 IPS |
|
|
Machine Translation (Q)
|
50% |
281
9.98 IPS |
