vivo V2338
Geekbench AI Score
550
Single Precision Score
542
Half Precision Score
1018
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | September 19 2024 04:33 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| 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% |
418
77.7 IPS |
|
|
Image Classification (HP)
|
100% |
409
76.0 IPS |
|
|
Image Classification (Q)
|
100% |
1334
248.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
486
7.89 IPS |
|
|
Image Segmentation (HP)
|
100% |
484
7.85 IPS |
|
|
Image Segmentation (Q)
|
98% |
1520
24.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
1864
2.18 IPS |
|
|
Pose Estimation (HP)
|
100% |
1741
2.03 IPS |
|
|
Pose Estimation (Q)
|
84% |
2958
3.51 IPS |
|
|
Object Detection (SP)
|
100% |
375
29.7 IPS |
|
|
Object Detection (HP)
|
100% |
371
29.4 IPS |
|
|
Object Detection (Q)
|
83% |
1134
91.6 IPS |
|
|
Face Detection (SP)
|
100% |
972
11.6 IPS |
|
|
Face Detection (HP)
|
100% |
968
11.5 IPS |
|
|
Face Detection (Q)
|
95% |
2719
32.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
1438
11.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
1379
10.6 IPS |
|
|
Depth Estimation (Q)
|
64% |
994
9.10 IPS |
|
|
Style Transfer (SP)
|
89% |
1136
1.47 IPS |
|
|
Style Transfer (HP)
|
89% |
1135
1.47 IPS |
|
|
Style Transfer (Q)
|
98% |
2467
3.18 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
269
9.94 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
270
9.99 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
624
23.1 IPS |
|
|
Text Classification (SP)
|
100% |
158
211.5 IPS |
|
|
Text Classification (HP)
|
100% |
160
214.1 IPS |
|
|
Text Classification (Q)
|
88% |
256
345.1 IPS |
|
|
Machine Translation (SP)
|
100% |
267
4.59 IPS |
|
|
Machine Translation (HP)
|
100% |
266
4.57 IPS |
|
|
Machine Translation (Q)
|
50% |
165
5.87 IPS |
