vivo V2352A
Geekbench AI Score
323
Single Precision Score
334
Half Precision Score
19280
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | October 03 2024 07:18 AM |
| Views | 45 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | QNN |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | vivo V2352A |
| Model ID | vivo V2352A |
| 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 | 2.02 GHz |
| Cluster 1 | 3 Cores @ 2.02 GHz |
| Cluster 2 | 4 Cores @ 2.80 GHz |
| Cluster 3 | 1 Core @ 3.01 GHz |
| Memory Information | |
|---|---|
| Size | 11.03 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
286
53.2 IPS |
|
|
Image Classification (HP)
|
100% |
285
53.1 IPS |
|
|
Image Classification (Q)
|
97% |
23457
4.38 KIPS |
|
|
Image Segmentation (SP)
|
100% |
357
5.79 IPS |
|
|
Image Segmentation (HP)
|
100% |
352
5.71 IPS |
|
|
Image Segmentation (Q)
|
98% |
16490
268.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
485
0.57 IPS |
|
|
Pose Estimation (HP)
|
100% |
416
0.49 IPS |
|
|
Pose Estimation (Q)
|
98% |
129332
151.4 IPS |
|
|
Object Detection (SP)
|
100% |
152
12.1 IPS |
|
|
Object Detection (HP)
|
100% |
152
12.1 IPS |
|
|
Object Detection (Q)
|
86% |
10614
853.5 IPS |
|
|
Face Detection (SP)
|
100% |
480
5.71 IPS |
|
|
Face Detection (HP)
|
100% |
558
6.63 IPS |
|
|
Face Detection (Q)
|
97% |
54607
651.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
361
2.78 IPS |
|
|
Depth Estimation (HP)
|
99% |
361
2.78 IPS |
|
|
Depth Estimation (Q)
|
63% |
57034
534.0 IPS |
|
|
Style Transfer (SP)
|
100% |
656
0.84 IPS |
|
|
Style Transfer (HP)
|
100% |
655
0.84 IPS |
|
|
Style Transfer (Q)
|
98% |
135905
175.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
175
6.46 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
175
6.46 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
40617
1.51 KIPS |
|
|
Text Classification (SP)
|
100% |
217
289.7 IPS |
|
|
Text Classification (HP)
|
100% |
218
290.5 IPS |
|
|
Text Classification (Q)
|
93% |
5219
7.01 KIPS |
|
|
Machine Translation (SP)
|
100% |
384
6.61 IPS |
|
|
Machine Translation (HP)
|
100% |
543
9.35 IPS |
|
|
Machine Translation (Q)
|
30% |
149
30.0 IPS |
