vivo V2144
Geekbench AI Score
887
Single Precision Score
1173
Half Precision Score
1049
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | July 09 2025 08:00 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | vivo V2144 |
| Model ID | vivo V2144 |
| Motherboard | k6983v1_64 |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 2 part 3400 revision 0 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 4 Cores @ 1.80 GHz |
| Cluster 2 | 3 Cores @ 2.85 GHz |
| Cluster 3 | 1 Core @ 3.05 GHz |
| Memory Information | |
|---|---|
| Size | 11.15 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
388
72.1 IPS |
|
|
Image Classification (HP)
|
100% |
544
101.2 IPS |
|
|
Image Classification (Q)
|
97% |
522
97.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1472
23.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1494
24.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
1359
22.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
5427
6.33 IPS |
|
|
Pose Estimation (HP)
|
100% |
11638
13.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
10989
12.9 IPS |
|
|
Object Detection (SP)
|
100% |
566
44.9 IPS |
|
|
Object Detection (HP)
|
99% |
674
53.4 IPS |
|
|
Object Detection (Q)
|
83% |
637
51.4 IPS |
|
|
Face Detection (SP)
|
100% |
1617
19.2 IPS |
|
|
Face Detection (HP)
|
100% |
2321
27.6 IPS |
|
|
Face Detection (Q)
|
96% |
1974
23.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
3343
25.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
5341
41.3 IPS |
|
|
Depth Estimation (Q)
|
62% |
4575
43.5 IPS |
|
|
Style Transfer (SP)
|
100% |
7987
10.3 IPS |
|
|
Style Transfer (HP)
|
100% |
18695
24.0 IPS |
|
|
Style Transfer (Q)
|
98% |
17795
22.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1312
48.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1386
51.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1353
50.2 IPS |
|
|
Text Classification (SP)
|
35% |
14
130.0 IPS |
|
|
Text Classification (HP)
|
29% |
9
160.3 IPS |
|
|
Text Classification (Q)
|
32% |
22
282.6 IPS |
|
|
Machine Translation (SP)
|
100% |
217
3.74 IPS |
|
|
Machine Translation (HP)
|
100% |
268
4.61 IPS |
|
|
Machine Translation (Q)
|
43% |
68
3.96 IPS |
