Vivo X80
Geekbench AI Score
1225
Single Precision Score
1158
Half Precision Score
2271
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | October 25 2025 09:45 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | MediaTek Dimensity 9000 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | Vivo X80 |
| Model ID | vivo V2183A |
| 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% |
1076
200.1 IPS |
|
|
Image Classification (HP)
|
100% |
1010
187.8 IPS |
|
|
Image Classification (Q)
|
100% |
1993
370.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1143
18.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1140
18.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
2087
33.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
2217
2.59 IPS |
|
|
Pose Estimation (HP)
|
100% |
2195
2.56 IPS |
|
|
Pose Estimation (Q)
|
84% |
5262
6.24 IPS |
|
|
Object Detection (SP)
|
98% |
604
48.1 IPS |
|
|
Object Detection (HP)
|
98% |
598
47.6 IPS |
|
|
Object Detection (Q)
|
83% |
1382
111.6 IPS |
|
|
Face Detection (SP)
|
100% |
2269
27.0 IPS |
|
|
Face Detection (HP)
|
100% |
1644
19.5 IPS |
|
|
Face Detection (Q)
|
95% |
3768
45.0 IPS |
|
|
Depth Estimation (SP)
|
99% |
1602
12.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
1494
11.5 IPS |
|
|
Depth Estimation (Q)
|
64% |
3810
34.9 IPS |
|
|
Style Transfer (SP)
|
89% |
4463
5.79 IPS |
|
|
Style Transfer (HP)
|
89% |
4468
5.80 IPS |
|
|
Style Transfer (Q)
|
98% |
11384
14.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
915
33.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
904
33.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2749
101.9 IPS |
|
|
Text Classification (SP)
|
100% |
511
681.8 IPS |
|
|
Text Classification (HP)
|
99% |
475
634.5 IPS |
|
|
Text Classification (Q)
|
88% |
746
1.01 KIPS |
|
|
Machine Translation (SP)
|
100% |
610
10.5 IPS |
|
|
Machine Translation (HP)
|
100% |
614
10.6 IPS |
|
|
Machine Translation (Q)
|
50% |
361
12.8 IPS |
