vivo V2250
Geekbench ML Score
520
TensorFlow Lite CPU Inference Score
Geekbench ML 0.6.0 for Android AArch64
Result Information
| Upload Date | January 21 2024 03:50 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Android 13 |
| Model | vivo V2250 |
| Model ID | vivo V2250 |
| Motherboard | lahaina |
| Governor | schedutil |
| CPU Information | |
|---|---|
| Name | ARM Qualcomm |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3393 revision 1 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 4 Cores @ 1.80 GHz |
| Cluster 2 | 4 Cores @ 2.40 GHz |
| Memory Information | |
|---|---|
| Size | 7.15 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
241
45.1 IPS |
|
|
Image Classification (F16)
|
100% |
245
45.9 IPS |
|
|
Image Classification (I8)
|
97% |
571
106.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
328
5.48 IPS |
|
|
Image Segmentation (F16)
|
100% |
324
5.41 IPS |
|
|
Image Segmentation (I8)
|
98% |
400
6.68 IPS |
|
|
Pose Estimation (F32)
|
100% |
505
0.61 IPS |
|
|
Pose Estimation (F16)
|
100% |
513
0.62 IPS |
|
|
Pose Estimation (I8)
|
100% |
2698
3.27 IPS |
|
|
Object Detection (F32)
|
100% |
266
19.8 IPS |
|
|
Object Detection (F16)
|
100% |
258
19.3 IPS |
|
|
Object Detection (I8)
|
61% |
796
59.4 IPS |
|
|
Face Detection (F32)
|
100% |
449
5.34 IPS |
|
|
Face Detection (F16)
|
100% |
481
5.72 IPS |
|
|
Face Detection (I8)
|
86% |
1495
17.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
532
4.12 IPS |
|
|
Depth Estimation (F16)
|
100% |
531
4.12 IPS |
|
|
Depth Estimation (I8)
|
95% |
1518
11.8 IPS |
|
|
Style Transfer (F32)
|
100% |
860
1.13 IPS |
|
|
Style Transfer (F16)
|
100% |
846
1.11 IPS |
|
|
Style Transfer (I8)
|
98% |
2240
2.95 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
332
11.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
327
11.7 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
1085
38.8 IPS |
|
|
Text Classification (F32)
|
100% |
320
460.5 IPS |
|
|
Text Classification (F16)
|
100% |
323
464.6 IPS |
|
|
Text Classification (I8)
|
92% |
286
410.9 IPS |
|
|
Machine Translation (F32)
|
100% |
549
10.1 IPS |
|
|
Machine Translation (F16)
|
100% |
547
10.1 IPS |
|
|
Machine Translation (I8)
|
64% |
240
4.42 IPS |
