vivo V2145
Geekbench AI Score
204
Single Precision Score
10919
Half Precision Score
27267
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | 46fy45 |
| Upload Date | September 29 2025 11:03 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | QNN |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | vivo V2145 |
| Model ID | vivo V2145 |
| Motherboard | taro |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 2 part 3400 revision 0 |
| Base Frequency | 1.78 GHz |
| Cluster 1 | 4 Cores @ 1.79 GHz |
| Cluster 2 | 3 Cores @ 2.50 GHz |
| Cluster 3 | 1 Core @ 3.00 GHz |
| Memory Information | |
|---|---|
| Size | 11.04 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
118
22.0 IPS |
|
|
Image Classification (HP)
|
100% |
8016
1.49 KIPS |
|
|
Image Classification (Q)
|
99% |
22010
4.11 KIPS |
|
|
Image Segmentation (SP)
|
100% |
154
2.50 IPS |
|
|
Image Segmentation (HP)
|
100% |
6499
105.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
18307
297.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
212
0.25 IPS |
|
|
Pose Estimation (HP)
|
100% |
35892
41.9 IPS |
|
|
Pose Estimation (Q)
|
94% |
224193
262.9 IPS |
|
|
Object Detection (SP)
|
100% |
117
9.32 IPS |
|
|
Object Detection (HP)
|
100% |
7672
608.5 IPS |
|
|
Object Detection (Q)
|
88% |
11598
929.1 IPS |
|
|
Face Detection (SP)
|
100% |
316
3.75 IPS |
|
|
Face Detection (HP)
|
100% |
17433
207.1 IPS |
|
|
Face Detection (Q)
|
97% |
62581
746.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
272
2.10 IPS |
|
|
Depth Estimation (HP)
|
99% |
28062
216.8 IPS |
|
|
Depth Estimation (Q)
|
64% |
61631
567.4 IPS |
|
|
Style Transfer (SP)
|
100% |
486
0.63 IPS |
|
|
Style Transfer (HP)
|
98% |
40607
52.4 IPS |
|
|
Style Transfer (Q)
|
98% |
215042
277.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
134
4.96 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
21336
787.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
51960
1.93 KIPS |
|
|
Text Classification (SP)
|
100% |
170
227.3 IPS |
|
|
Text Classification (HP)
|
100% |
1855
2.48 KIPS |
|
|
Text Classification (Q)
|
94% |
4194
5.63 KIPS |
|
|
Machine Translation (SP)
|
100% |
294
5.07 IPS |
|
|
Machine Translation (HP)
|
100% |
2137
36.8 IPS |
|
|
Machine Translation (Q)
|
50% |
1200
41.6 IPS |
