vivo V2338
Geekbench AI Score
161
Single Precision Score
228
Half Precision Score
230
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | September 19 2024 04:56 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
125
23.2 IPS |
|
|
Image Classification (HP)
|
100% |
215
39.9 IPS |
|
|
Image Classification (Q)
|
97% |
204
38.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
183
2.96 IPS |
|
|
Image Segmentation (HP)
|
100% |
229
3.71 IPS |
|
|
Image Segmentation (Q)
|
98% |
223
3.63 IPS |
|
|
Pose Estimation (SP)
|
100% |
177
0.21 IPS |
|
|
Pose Estimation (HP)
|
100% |
286
0.33 IPS |
|
|
Pose Estimation (Q)
|
95% |
289
0.34 IPS |
|
|
Object Detection (SP)
|
100% |
98
7.75 IPS |
|
|
Object Detection (HP)
|
100% |
145
11.5 IPS |
|
|
Object Detection (Q)
|
89% |
145
11.6 IPS |
|
|
Face Detection (SP)
|
100% |
373
4.44 IPS |
|
|
Face Detection (HP)
|
100% |
521
6.19 IPS |
|
|
Face Detection (Q)
|
97% |
484
5.78 IPS |
|
|
Depth Estimation (SP)
|
100% |
277
2.13 IPS |
|
|
Depth Estimation (HP)
|
99% |
458
3.54 IPS |
|
|
Depth Estimation (Q)
|
63% |
372
3.50 IPS |
|
|
Style Transfer (SP)
|
100% |
601
0.77 IPS |
|
|
Style Transfer (HP)
|
100% |
1209
1.55 IPS |
|
|
Style Transfer (Q)
|
98% |
1226
1.58 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
111
4.11 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
142
5.23 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
140
5.17 IPS |
|
|
Text Classification (SP)
|
100% |
50
67.3 IPS |
|
|
Text Classification (HP)
|
100% |
52
69.2 IPS |
|
|
Text Classification (Q)
|
91% |
92
123.9 IPS |
|
|
Machine Translation (SP)
|
100% |
91
1.57 IPS |
|
|
Machine Translation (HP)
|
100% |
91
1.56 IPS |
|
|
Machine Translation (Q)
|
57% |
77
1.88 IPS |
