vivo PA2170
Geekbench AI Score
320
Single Precision Score
317
Half Precision Score
613
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | May 15 2025 06:31 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM Qualcomm |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | vivo PA2170 |
| Model ID | vivo PA2170 |
| Motherboard | kona |
| Governor | schedutil |
| CPU Information | |
|---|---|
| Name | ARM Qualcomm |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3341 revision 0 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 4 Cores @ 1.80 GHz |
| Cluster 2 | 3 Cores @ 2.42 GHz |
| Cluster 3 | 1 Core @ 3.19 GHz |
| Memory Information | |
|---|---|
| Size | 7.42 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
195
36.3 IPS |
|
|
Image Classification (HP)
|
100% |
177
33.0 IPS |
|
|
Image Classification (Q)
|
100% |
521
96.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
194
3.14 IPS |
|
|
Image Segmentation (HP)
|
100% |
193
3.13 IPS |
|
|
Image Segmentation (Q)
|
98% |
513
8.35 IPS |
|
|
Pose Estimation (SP)
|
100% |
655
0.76 IPS |
|
|
Pose Estimation (HP)
|
100% |
660
0.77 IPS |
|
|
Pose Estimation (Q)
|
84% |
1178
1.40 IPS |
|
|
Object Detection (SP)
|
100% |
155
12.3 IPS |
|
|
Object Detection (HP)
|
100% |
155
12.3 IPS |
|
|
Object Detection (Q)
|
83% |
397
32.0 IPS |
|
|
Face Detection (SP)
|
100% |
372
4.41 IPS |
|
|
Face Detection (HP)
|
100% |
373
4.43 IPS |
|
|
Face Detection (Q)
|
95% |
844
10.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
523
4.03 IPS |
|
|
Depth Estimation (HP)
|
99% |
526
4.05 IPS |
|
|
Depth Estimation (Q)
|
64% |
1021
9.35 IPS |
|
|
Style Transfer (SP)
|
89% |
1149
1.49 IPS |
|
|
Style Transfer (HP)
|
89% |
1152
1.49 IPS |
|
|
Style Transfer (Q)
|
98% |
2481
3.20 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
306
11.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
304
11.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
638
23.6 IPS |
|
|
Text Classification (SP)
|
100% |
170
226.5 IPS |
|
|
Text Classification (HP)
|
100% |
167
223.5 IPS |
|
|
Text Classification (Q)
|
88% |
270
364.5 IPS |
|
|
Machine Translation (SP)
|
100% |
260
4.48 IPS |
|
|
Machine Translation (HP)
|
100% |
259
4.47 IPS |
|
|
Machine Translation (Q)
|
50% |
163
5.78 IPS |
