vivo V2140
Geekbench AI Score
379
Single Precision Score
382
Half Precision Score
459
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | July 12 2025 04:32 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM Qualcomm |
| System Information | |
|---|---|
| Operating System | Android 12 |
| Model | vivo V2140 |
| Model ID | vivo V2140 |
| Motherboard | bengal |
| Governor | schedutil |
| CPU Information | |
|---|---|
| Name | ARM Qualcomm |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3337 revision 0 |
| Base Frequency | 1.90 GHz |
| Cluster 1 | 4 Cores @ 1.90 GHz |
| Cluster 2 | 4 Cores @ 2.40 GHz |
| Memory Information | |
|---|---|
| Size | 2.60 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
177
32.8 IPS |
|
|
Image Classification (HP)
|
100% |
173
32.2 IPS |
|
|
Image Classification (Q)
|
100% |
318
59.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
217
3.51 IPS |
|
|
Image Segmentation (HP)
|
100% |
221
3.58 IPS |
|
|
Image Segmentation (Q)
|
98% |
403
6.55 IPS |
|
|
Pose Estimation (SP)
|
100% |
844
0.98 IPS |
|
|
Pose Estimation (HP)
|
100% |
855
1.00 IPS |
|
|
Pose Estimation (Q)
|
84% |
704
0.84 IPS |
|
|
Object Detection (SP)
|
100% |
171
13.6 IPS |
|
|
Object Detection (HP)
|
100% |
171
13.6 IPS |
|
|
Object Detection (Q)
|
83% |
318
25.7 IPS |
|
|
Face Detection (SP)
|
100% |
499
5.92 IPS |
|
|
Face Detection (HP)
|
100% |
499
5.93 IPS |
|
|
Face Detection (Q)
|
95% |
748
8.93 IPS |
|
|
Depth Estimation (SP)
|
100% |
717
5.53 IPS |
|
|
Depth Estimation (HP)
|
99% |
690
5.31 IPS |
|
|
Depth Estimation (Q)
|
64% |
743
6.80 IPS |
|
|
Style Transfer (SP)
|
89% |
1253
1.63 IPS |
|
|
Style Transfer (HP)
|
89% |
1473
1.91 IPS |
|
|
Style Transfer (Q)
|
98% |
1206
1.55 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
377
13.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
373
13.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
414
15.3 IPS |
|
|
Text Classification (SP)
|
100% |
200
266.6 IPS |
|
|
Text Classification (HP)
|
100% |
195
259.7 IPS |
|
|
Text Classification (Q)
|
88% |
296
398.6 IPS |
|
|
Machine Translation (SP)
|
100% |
330
5.68 IPS |
|
|
Machine Translation (HP)
|
100% |
325
5.60 IPS |
|
|
Machine Translation (Q)
|
50% |
177
6.30 IPS |
