vivo V2324A
Geekbench ML Score
614
TensorFlow Lite GPU Inference Score
Geekbench ML 0.6.0 for Android AArch64
Result Information
| Upload Date | October 14 2024 11:00 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | vivo V2324A |
| Model ID | vivo V2324A |
| Motherboard | k6989v1_64 |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 0 part 3458 revision 1 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 4 Cores @ 2.00 GHz |
| Cluster 2 | 3 Cores @ 2.85 GHz |
| Cluster 3 | 1 Core @ 3.25 GHz |
| Memory Information | |
|---|---|
| Size | 14.94 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
346
64.8 IPS |
|
|
Image Classification (F16)
|
100% |
445
83.3 IPS |
|
|
Image Classification (I8)
|
97% |
419
78.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
777
13.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
788
13.2 IPS |
|
|
Image Segmentation (I8)
|
98% |
782
13.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
385
0.47 IPS |
|
|
Pose Estimation (F16)
|
100% |
569
0.69 IPS |
|
|
Pose Estimation (I8)
|
100% |
567
0.69 IPS |
|
|
Object Detection (F32)
|
100% |
317
23.6 IPS |
|
|
Object Detection (F16)
|
100% |
439
32.8 IPS |
|
|
Object Detection (I8)
|
62% |
415
31.0 IPS |
|
|
Face Detection (F32)
|
100% |
1579
18.8 IPS |
|
|
Face Detection (F16)
|
98% |
1589
18.9 IPS |
|
|
Face Detection (I8)
|
86% |
1489
17.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
802
6.22 IPS |
|
|
Depth Estimation (F16)
|
100% |
970
7.52 IPS |
|
|
Depth Estimation (I8)
|
95% |
969
7.52 IPS |
|
|
Style Transfer (F32)
|
100% |
2178
2.87 IPS |
|
|
Style Transfer (F16)
|
100% |
2743
3.61 IPS |
|
|
Style Transfer (I8)
|
98% |
2733
3.59 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
457
16.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
559
19.9 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
552
19.7 IPS |
|
|
Text Classification (F32)
|
100% |
165
237.0 IPS |
|
|
Text Classification (F16)
|
100% |
164
236.4 IPS |
|
|
Text Classification (I8)
|
92% |
322
463.0 IPS |
|
|
Machine Translation (F32)
|
100% |
292
5.38 IPS |
|
|
Machine Translation (F16)
|
100% |
297
5.46 IPS |
|
|
Machine Translation (I8)
|
64% |
420
7.73 IPS |
