Vivo X80
Geekbench AI Score
1028
Single Precision Score
1190
Half Precision Score
959
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | October 25 2025 09:41 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
569
105.7 IPS |
|
|
Image Classification (HP)
|
100% |
568
105.6 IPS |
|
|
Image Classification (Q)
|
97% |
671
125.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1299
21.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
917
14.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
831
13.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
5306
6.19 IPS |
|
|
Pose Estimation (HP)
|
100% |
11049
12.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
10762
12.6 IPS |
|
|
Object Detection (SP)
|
100% |
543
43.1 IPS |
|
|
Object Detection (HP)
|
99% |
592
46.9 IPS |
|
|
Object Detection (Q)
|
83% |
487
39.3 IPS |
|
|
Face Detection (SP)
|
100% |
2269
27.0 IPS |
|
|
Face Detection (HP)
|
100% |
1903
22.6 IPS |
|
|
Face Detection (Q)
|
96% |
2839
33.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
3204
24.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
5000
38.6 IPS |
|
|
Depth Estimation (Q)
|
62% |
1999
19.0 IPS |
|
|
Style Transfer (SP)
|
100% |
7649
9.83 IPS |
|
|
Style Transfer (HP)
|
100% |
17422
22.4 IPS |
|
|
Style Transfer (Q)
|
98% |
16913
21.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1320
48.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1808
66.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1597
59.2 IPS |
|
|
Text Classification (SP)
|
35% |
13
120.6 IPS |
|
|
Text Classification (HP)
|
29% |
8
145.5 IPS |
|
|
Text Classification (Q)
|
29% |
8
140.5 IPS |
|
|
Machine Translation (SP)
|
100% |
654
11.3 IPS |
|
|
Machine Translation (HP)
|
100% |
702
12.1 IPS |
|
|
Machine Translation (Q)
|
43% |
185
10.7 IPS |
