vivo V2338
Geekbench AI Score
358
Single Precision Score
624
Half Precision Score
583
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | December 08 2025 05:26 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | vivo V2338 |
| Model ID | vivo V2338 |
| Motherboard | parrot |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3393 revision 2 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 4 Cores @ 1.80 GHz |
| Cluster 2 | 4 Cores @ 2.21 GHz |
| Memory Information | |
|---|---|
| Size | 5.33 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
279
51.9 IPS |
|
|
Image Classification (HP)
|
100% |
493
91.6 IPS |
|
|
Image Classification (Q)
|
99% |
465
86.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
426
6.91 IPS |
|
|
Image Segmentation (HP)
|
100% |
732
11.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
613
9.96 IPS |
|
|
Pose Estimation (SP)
|
100% |
1477
1.72 IPS |
|
|
Pose Estimation (HP)
|
99% |
2808
3.28 IPS |
|
|
Pose Estimation (Q)
|
97% |
2804
3.28 IPS |
|
|
Object Detection (SP)
|
100% |
235
18.7 IPS |
|
|
Object Detection (HP)
|
99% |
349
27.7 IPS |
|
|
Object Detection (Q)
|
85% |
342
27.6 IPS |
|
|
Face Detection (SP)
|
100% |
702
8.34 IPS |
|
|
Face Detection (HP)
|
100% |
1301
15.5 IPS |
|
|
Face Detection (Q)
|
97% |
1091
13.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
840
6.47 IPS |
|
|
Depth Estimation (HP)
|
98% |
1738
13.4 IPS |
|
|
Depth Estimation (Q)
|
65% |
1386
12.5 IPS |
|
|
Style Transfer (SP)
|
100% |
1674
2.15 IPS |
|
|
Style Transfer (HP)
|
100% |
3835
4.93 IPS |
|
|
Style Transfer (Q)
|
98% |
3781
4.88 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
392
14.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
665
24.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
640
23.7 IPS |
|
|
Text Classification (SP)
|
35% |
14
136.0 IPS |
|
|
Text Classification (HP)
|
35% |
24
216.3 IPS |
|
|
Text Classification (Q)
|
35% |
23
213.6 IPS |
|
|
Machine Translation (SP)
|
100% |
159
2.73 IPS |
|
|
Machine Translation (HP)
|
97% |
183
3.17 IPS |
|
|
Machine Translation (Q)
|
64% |
200
4.12 IPS |
