vivo V2338A
Geekbench AI Score
362
Single Precision Score
357
Half Precision Score
740
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | January 04 2025 09:06 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | vivo V2338A |
| Model ID | vivo V2338A |
| Motherboard | kalama |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3406 revision 0 |
| Base Frequency | 2.02 GHz |
| Cluster 1 | 3 Cores @ 2.02 GHz |
| Cluster 2 | 4 Cores @ 2.80 GHz |
| Cluster 3 | 1 Core @ 3.19 GHz |
| Memory Information | |
|---|---|
| Size | 10.95 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
224
41.6 IPS |
|
|
Image Classification (HP)
|
100% |
213
39.5 IPS |
|
|
Image Classification (Q)
|
99% |
494
92.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
276
4.47 IPS |
|
|
Image Segmentation (HP)
|
100% |
279
4.52 IPS |
|
|
Image Segmentation (Q)
|
98% |
526
8.55 IPS |
|
|
Pose Estimation (SP)
|
100% |
398
0.46 IPS |
|
|
Pose Estimation (HP)
|
100% |
398
0.46 IPS |
|
|
Pose Estimation (Q)
|
98% |
1466
1.72 IPS |
|
|
Object Detection (SP)
|
100% |
216
17.2 IPS |
|
|
Object Detection (HP)
|
100% |
219
17.3 IPS |
|
|
Object Detection (Q)
|
87% |
568
45.6 IPS |
|
|
Face Detection (SP)
|
100% |
547
6.50 IPS |
|
|
Face Detection (HP)
|
100% |
551
6.55 IPS |
|
|
Face Detection (Q)
|
97% |
1076
12.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
487
3.76 IPS |
|
|
Depth Estimation (HP)
|
99% |
459
3.54 IPS |
|
|
Depth Estimation (Q)
|
64% |
1012
9.18 IPS |
|
|
Style Transfer (SP)
|
100% |
753
0.97 IPS |
|
|
Style Transfer (HP)
|
100% |
758
0.97 IPS |
|
|
Style Transfer (Q)
|
98% |
1721
2.22 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
236
8.72 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
236
8.71 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
811
30.0 IPS |
|
|
Text Classification (SP)
|
100% |
309
412.8 IPS |
|
|
Text Classification (HP)
|
100% |
296
395.5 IPS |
|
|
Text Classification (Q)
|
91% |
453
608.3 IPS |
|
|
Machine Translation (SP)
|
100% |
510
8.79 IPS |
|
|
Machine Translation (HP)
|
100% |
495
8.53 IPS |
|
|
Machine Translation (Q)
|
57% |
332
8.12 IPS |
