vivo V2241HA
Geekbench AI Score
1987
Single Precision Score
1998
Half Precision Score
2693
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | December 27 2024 10:03 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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% |
1515
281.7 IPS |
|
|
Image Classification (HP)
|
100% |
1550
288.2 IPS |
|
|
Image Classification (Q)
|
100% |
2750
511.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1800
29.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1760
28.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
2795
45.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
3158
3.68 IPS |
|
|
Pose Estimation (HP)
|
100% |
3120
3.64 IPS |
|
|
Pose Estimation (Q)
|
84% |
7286
8.64 IPS |
|
|
Object Detection (SP)
|
98% |
1410
112.2 IPS |
|
|
Object Detection (HP)
|
98% |
1495
119.0 IPS |
|
|
Object Detection (Q)
|
83% |
1940
156.7 IPS |
|
|
Face Detection (SP)
|
100% |
2879
34.2 IPS |
|
|
Face Detection (HP)
|
100% |
2987
35.5 IPS |
|
|
Face Detection (Q)
|
95% |
4863
58.1 IPS |
|
|
Depth Estimation (SP)
|
99% |
2854
22.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
2793
21.6 IPS |
|
|
Depth Estimation (Q)
|
64% |
4719
43.2 IPS |
|
|
Style Transfer (SP)
|
89% |
6957
9.03 IPS |
|
|
Style Transfer (HP)
|
89% |
6699
8.70 IPS |
|
|
Style Transfer (Q)
|
98% |
13132
16.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1353
50.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1354
50.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2695
99.9 IPS |
|
|
Text Classification (SP)
|
100% |
694
925.9 IPS |
|
|
Text Classification (HP)
|
99% |
676
901.7 IPS |
|
|
Text Classification (Q)
|
88% |
347
467.4 IPS |
|
|
Machine Translation (SP)
|
100% |
1476
25.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1565
27.0 IPS |
|
|
Machine Translation (Q)
|
50% |
656
23.3 IPS |
