vivo V2352A
Geekbench AI Score
310
Single Precision Score
319
Half Precision Score
696
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | October 03 2024 06:43 AM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| 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% |
280
52.0 IPS |
|
|
Image Classification (HP)
|
100% |
277
51.5 IPS |
|
|
Image Classification (Q)
|
99% |
725
135.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
350
5.67 IPS |
|
|
Image Segmentation (HP)
|
100% |
352
5.70 IPS |
|
|
Image Segmentation (Q)
|
98% |
737
12.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
477
0.56 IPS |
|
|
Pose Estimation (HP)
|
100% |
402
0.47 IPS |
|
|
Pose Estimation (Q)
|
98% |
1573
1.84 IPS |
|
|
Object Detection (SP)
|
100% |
150
11.9 IPS |
|
|
Object Detection (HP)
|
100% |
150
11.9 IPS |
|
|
Object Detection (Q)
|
87% |
429
34.4 IPS |
|
|
Face Detection (SP)
|
100% |
426
5.06 IPS |
|
|
Face Detection (HP)
|
100% |
427
5.07 IPS |
|
|
Face Detection (Q)
|
97% |
884
10.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
356
2.74 IPS |
|
|
Depth Estimation (HP)
|
99% |
357
2.75 IPS |
|
|
Depth Estimation (Q)
|
64% |
802
7.28 IPS |
|
|
Style Transfer (SP)
|
100% |
645
0.83 IPS |
|
|
Style Transfer (HP)
|
100% |
755
0.97 IPS |
|
|
Style Transfer (Q)
|
98% |
1758
2.27 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
165
6.10 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
164
6.07 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
573
21.2 IPS |
|
|
Text Classification (SP)
|
100% |
204
272.1 IPS |
|
|
Text Classification (HP)
|
100% |
204
272.2 IPS |
|
|
Text Classification (Q)
|
91% |
345
464.0 IPS |
|
|
Machine Translation (SP)
|
100% |
360
6.21 IPS |
|
|
Machine Translation (HP)
|
100% |
496
8.54 IPS |
|
|
Machine Translation (Q)
|
57% |
301
7.36 IPS |
