vivo V2338A
Geekbench AI Score
757
Single Precision Score
1044
Half Precision Score
1022
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | January 04 2025 08:54 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
564
104.9 IPS |
|
|
Image Classification (HP)
|
100% |
801
149.0 IPS |
|
|
Image Classification (Q)
|
96% |
748
139.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1131
18.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1495
24.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
1541
25.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
694
0.81 IPS |
|
|
Pose Estimation (HP)
|
100% |
955
1.11 IPS |
|
|
Pose Estimation (Q)
|
96% |
974
1.14 IPS |
|
|
Object Detection (SP)
|
100% |
397
31.5 IPS |
|
|
Object Detection (HP)
|
100% |
673
53.4 IPS |
|
|
Object Detection (Q)
|
87% |
745
59.8 IPS |
|
|
Face Detection (SP)
|
100% |
1906
22.7 IPS |
|
|
Face Detection (HP)
|
100% |
2852
33.9 IPS |
|
|
Face Detection (Q)
|
97% |
2600
31.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
1162
8.95 IPS |
|
|
Depth Estimation (HP)
|
99% |
2286
17.7 IPS |
|
|
Depth Estimation (Q)
|
63% |
1962
18.2 IPS |
|
|
Style Transfer (SP)
|
100% |
3197
4.11 IPS |
|
|
Style Transfer (HP)
|
100% |
7329
9.42 IPS |
|
|
Style Transfer (Q)
|
98% |
7204
9.29 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
296
10.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
260
9.59 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
255
9.44 IPS |
|
|
Text Classification (SP)
|
100% |
332
442.8 IPS |
|
|
Text Classification (HP)
|
100% |
315
420.7 IPS |
|
|
Text Classification (Q)
|
91% |
453
608.4 IPS |
|
|
Machine Translation (SP)
|
100% |
510
8.78 IPS |
|
|
Machine Translation (HP)
|
100% |
515
8.86 IPS |
|
|
Machine Translation (Q)
|
57% |
352
8.60 IPS |
