vivo V2205
Geekbench AI Score
375
Single Precision Score
372
Half Precision Score
467
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | December 03 2025 10:36 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM Qualcomm |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | vivo V2205 |
| Model ID | vivo V2205 |
| Motherboard | bengal |
| Governor | schedutil |
| CPU Information | |
|---|---|
| Name | ARM Qualcomm |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3337 revision 0 |
| Base Frequency | 1.90 GHz |
| Cluster 1 | 4 Cores @ 1.90 GHz |
| Cluster 2 | 4 Cores @ 2.40 GHz |
| Memory Information | |
|---|---|
| Size | 7.47 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
176
32.8 IPS |
|
|
Image Classification (HP)
|
100% |
176
32.6 IPS |
|
|
Image Classification (Q)
|
100% |
314
58.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
219
3.55 IPS |
|
|
Image Segmentation (HP)
|
100% |
212
3.43 IPS |
|
|
Image Segmentation (Q)
|
98% |
397
6.45 IPS |
|
|
Pose Estimation (SP)
|
100% |
841
0.98 IPS |
|
|
Pose Estimation (HP)
|
100% |
839
0.98 IPS |
|
|
Pose Estimation (Q)
|
84% |
703
0.83 IPS |
|
|
Object Detection (SP)
|
100% |
170
13.5 IPS |
|
|
Object Detection (HP)
|
100% |
168
13.4 IPS |
|
|
Object Detection (Q)
|
83% |
313
25.3 IPS |
|
|
Face Detection (SP)
|
100% |
483
5.73 IPS |
|
|
Face Detection (HP)
|
100% |
485
5.76 IPS |
|
|
Face Detection (Q)
|
95% |
735
8.78 IPS |
|
|
Depth Estimation (SP)
|
100% |
683
5.26 IPS |
|
|
Depth Estimation (HP)
|
99% |
669
5.16 IPS |
|
|
Depth Estimation (Q)
|
64% |
694
6.35 IPS |
|
|
Style Transfer (SP)
|
89% |
1345
1.75 IPS |
|
|
Style Transfer (HP)
|
89% |
1392
1.81 IPS |
|
|
Style Transfer (Q)
|
98% |
1705
2.20 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
362
13.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
353
13.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
413
15.3 IPS |
|
|
Text Classification (SP)
|
100% |
197
263.0 IPS |
|
|
Text Classification (HP)
|
100% |
194
259.1 IPS |
|
|
Text Classification (Q)
|
88% |
291
392.6 IPS |
|
|
Machine Translation (SP)
|
100% |
322
5.55 IPS |
|
|
Machine Translation (HP)
|
100% |
312
5.38 IPS |
|
|
Machine Translation (Q)
|
50% |
174
6.18 IPS |
