vivo V2361A
Geekbench AI Score
240
Single Precision Score
240
Half Precision Score
14487
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 19 2025 12:20 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | QNN |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | vivo V2361A |
| Model ID | vivo V2361A |
| Motherboard | crow |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3405 revision 1 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 4 Cores @ 1.80 GHz |
| Cluster 2 | 3 Cores @ 2.40 GHz |
| Cluster 3 | 1 Core @ 2.63 GHz |
| Memory Information | |
|---|---|
| Size | 7.10 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
141
26.3 IPS |
|
|
Image Classification (HP)
|
100% |
142
26.4 IPS |
|
|
Image Classification (Q)
|
97% |
13468
2.51 KIPS |
|
|
Image Segmentation (SP)
|
100% |
192
3.10 IPS |
|
|
Image Segmentation (HP)
|
100% |
192
3.10 IPS |
|
|
Image Segmentation (Q)
|
98% |
7862
127.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
256
0.30 IPS |
|
|
Pose Estimation (HP)
|
100% |
255
0.30 IPS |
|
|
Pose Estimation (Q)
|
98% |
57016
66.7 IPS |
|
|
Object Detection (SP)
|
100% |
140
11.1 IPS |
|
|
Object Detection (HP)
|
100% |
140
11.1 IPS |
|
|
Object Detection (Q)
|
86% |
5550
446.3 IPS |
|
|
Face Detection (SP)
|
100% |
369
4.39 IPS |
|
|
Face Detection (HP)
|
100% |
369
4.39 IPS |
|
|
Face Detection (Q)
|
97% |
32104
382.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
314
2.42 IPS |
|
|
Depth Estimation (HP)
|
99% |
314
2.42 IPS |
|
|
Depth Estimation (Q)
|
63% |
29120
272.7 IPS |
|
|
Style Transfer (SP)
|
100% |
539
0.69 IPS |
|
|
Style Transfer (HP)
|
100% |
539
0.69 IPS |
|
|
Style Transfer (Q)
|
98% |
118079
152.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
155
5.73 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
155
5.72 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
30234
1.12 KIPS |
|
|
Text Classification (SP)
|
100% |
210
280.1 IPS |
|
|
Text Classification (HP)
|
100% |
210
280.5 IPS |
|
|
Text Classification (Q)
|
93% |
4864
6.53 KIPS |
|
|
Machine Translation (SP)
|
100% |
332
5.72 IPS |
|
|
Machine Translation (HP)
|
100% |
334
5.76 IPS |
|
|
Machine Translation (Q)
|
55% |
749
19.6 IPS |
