vivo V2348
Geekbench AI Score
114
Single Precision Score
116
Half Precision Score
222
Quantized Score
Geekbench AI 1.0.0 for Android AArch64
Result Information
| Upload Date | August 18 2024 12:20 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | vivo V2348 |
| Model ID | vivo V2348 |
| Motherboard | crow |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3405 revision 1 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 4 Cores @ 1.80 GHz |
| Cluster 2 | 3 Cores @ 2.40 GHz |
| Cluster 3 | 1 Core @ 2.63 GHz |
| Memory Information | |
|---|---|
| Size | 11.03 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
61
11.3 IPS |
|
|
Image Classification (HP)
|
100% |
63
11.7 IPS |
|
|
Image Classification (Q)
|
97% |
142
26.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
77
1.25 IPS |
|
|
Image Segmentation (HP)
|
100% |
78
1.26 IPS |
|
|
Image Segmentation (Q)
|
98% |
112
1.83 IPS |
|
|
Pose Estimation (SP)
|
100% |
150
0.17 IPS |
|
|
Pose Estimation (HP)
|
100% |
149
0.17 IPS |
|
|
Pose Estimation (Q)
|
98% |
518
0.61 IPS |
|
|
Object Detection (SP)
|
100% |
65
5.15 IPS |
|
|
Object Detection (HP)
|
100% |
66
5.23 IPS |
|
|
Object Detection (Q)
|
89% |
165
13.2 IPS |
|
|
Face Detection (SP)
|
100% |
143
1.70 IPS |
|
|
Face Detection (HP)
|
100% |
145
1.72 IPS |
|
|
Face Detection (Q)
|
97% |
290
3.46 IPS |
|
|
Depth Estimation (SP)
|
100% |
155
1.20 IPS |
|
|
Depth Estimation (HP)
|
100% |
161
1.24 IPS |
|
|
Depth Estimation (Q)
|
73% |
310
2.54 IPS |
|
|
Style Transfer (SP)
|
100% |
293
0.38 IPS |
|
|
Style Transfer (HP)
|
100% |
295
0.38 IPS |
|
|
Style Transfer (Q)
|
98% |
657
0.85 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
87
3.23 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
87
3.21 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
269
9.97 IPS |
|
|
Text Classification (SP)
|
100% |
92
123.1 IPS |
|
|
Text Classification (HP)
|
100% |
93
124.7 IPS |
|
|
Text Classification (Q)
|
91% |
132
178.0 IPS |
|
|
Machine Translation (SP)
|
100% |
165
2.84 IPS |
|
|
Machine Translation (HP)
|
100% |
167
2.87 IPS |
|
|
Machine Translation (Q)
|
57% |
105
2.56 IPS |
