vivo V2241HA
Geekbench AI Score
502
Single Precision Score
2610
Half Precision Score
3494
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | December 27 2024 09:59 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | vivo V2241HA |
| Model ID | vivo V2241HA |
| Motherboard | k6985v1_64 |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3406 revision 0 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 4 Cores @ 2.00 GHz |
| Cluster 2 | 3 Cores @ 3.00 GHz |
| Cluster 3 | 1 Core @ 3.35 GHz |
| Memory Information | |
|---|---|
| Size | 7.16 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
613
113.9 IPS |
|
|
Image Classification (HP)
|
100% |
2637
490.4 IPS |
|
|
Image Classification (Q)
|
99% |
6639
1.24 KIPS |
|
|
Image Segmentation (SP)
|
100% |
391
6.33 IPS |
|
|
Image Segmentation (HP)
|
100% |
2614
42.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
1264
20.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
3092
3.61 IPS |
|
|
Pose Estimation (HP)
|
100% |
8113
9.47 IPS |
|
|
Pose Estimation (Q)
|
95% |
33029
38.7 IPS |
|
|
Object Detection (SP)
|
100% |
470
37.2 IPS |
|
|
Object Detection (HP)
|
100% |
2312
183.4 IPS |
|
|
Object Detection (Q)
|
86% |
3698
297.5 IPS |
|
|
Face Detection (SP)
|
28% |
45
8.45 IPS |
|
|
Face Detection (HP)
|
100% |
6904
82.0 IPS |
|
|
Face Detection (Q)
|
97% |
10418
124.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
1054
8.12 IPS |
|
|
Depth Estimation (HP)
|
99% |
9950
76.7 IPS |
|
|
Depth Estimation (Q)
|
62% |
23492
223.1 IPS |
|
|
Style Transfer (SP)
|
100% |
2434
3.13 IPS |
|
|
Style Transfer (HP)
|
100% |
959
1.23 IPS |
|
|
Style Transfer (Q)
|
30% |
618
9.32 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1221
45.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5370
198.3 IPS |
|
|
Image Super-Resolution (Q)
|
41% |
4328
630.3 IPS |
|
|
Text Classification (SP)
|
100% |
66
87.6 IPS |
|
|
Text Classification (HP)
|
100% |
487
650.1 IPS |
|
|
Text Classification (Q)
|
93% |
985
1.32 KIPS |
|
|
Machine Translation (SP)
|
100% |
317
5.45 IPS |
|
|
Machine Translation (HP)
|
100% |
659
11.3 IPS |
|
|
Machine Translation (Q)
|
60% |
411
9.26 IPS |
