vivo V2337A
Geekbench AI Score
267
Single Precision Score
19632
Half Precision Score
47604
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 27 2025 12:05 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | QNN |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | vivo V2337A |
| Model ID | vivo V2337A |
| Motherboard | pineapple |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 0 part 3458 revision 1 |
| Base Frequency | 2.26 GHz |
| Cluster 1 | 2 Cores @ 2.27 GHz |
| Cluster 2 | 2 Cores @ 2.96 GHz |
| Cluster 3 | 3 Cores @ 3.15 GHz |
| Cluster 4 | 1 Core @ 3.30 GHz |
| Memory Information | |
|---|---|
| Size | 14.85 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
203
37.8 IPS |
|
|
Image Classification (HP)
|
100% |
14652
2.72 KIPS |
|
|
Image Classification (Q)
|
97% |
35107
6.55 KIPS |
|
|
Image Segmentation (SP)
|
100% |
206
3.34 IPS |
|
|
Image Segmentation (HP)
|
100% |
10354
167.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
29453
478.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
292
0.34 IPS |
|
|
Pose Estimation (HP)
|
100% |
75347
87.9 IPS |
|
|
Pose Estimation (Q)
|
98% |
394964
462.3 IPS |
|
|
Object Detection (SP)
|
100% |
189
15.0 IPS |
|
|
Object Detection (HP)
|
100% |
13202
1.05 KIPS |
|
|
Object Detection (Q)
|
86% |
18581
1.49 KIPS |
|
|
Face Detection (SP)
|
100% |
414
4.92 IPS |
|
|
Face Detection (HP)
|
100% |
29674
352.6 IPS |
|
|
Face Detection (Q)
|
97% |
102277
1.22 KIPS |
|
|
Depth Estimation (SP)
|
100% |
331
2.55 IPS |
|
|
Depth Estimation (HP)
|
99% |
55188
425.2 IPS |
|
|
Depth Estimation (Q)
|
63% |
106112
993.6 IPS |
|
|
Style Transfer (SP)
|
100% |
584
0.75 IPS |
|
|
Style Transfer (HP)
|
98% |
82062
105.8 IPS |
|
|
Style Transfer (Q)
|
98% |
419976
541.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
157
5.78 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
38629
1.43 KIPS |
|
|
Image Super-Resolution (Q)
|
97% |
103813
3.85 KIPS |
|
|
Text Classification (SP)
|
100% |
189
252.9 IPS |
|
|
Text Classification (HP)
|
100% |
3195
4.27 KIPS |
|
|
Text Classification (Q)
|
93% |
6910
9.27 KIPS |
|
|
Machine Translation (SP)
|
100% |
342
5.89 IPS |
|
|
Machine Translation (HP)
|
100% |
3398
58.5 IPS |
|
|
Machine Translation (Q)
|
55% |
2409
63.1 IPS |
