vivo I2223
Geekbench ML Score
239
TensorFlow Lite GPU Inference Score
Geekbench ML 0.6.0 for Android AArch64
Result Information
| Upload Date | January 27 2024 09:25 AM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | Android 13 |
| Model | vivo I2223 |
| Model ID | vivo I2223 |
| Motherboard | holi |
| 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 | 6 Cores @ 1.80 GHz |
| Cluster 2 | 2 Cores @ 2.21 GHz |
| Memory Information | |
|---|---|
| Size | 7.28 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
104
19.5 IPS |
|
|
Image Classification (F16)
|
100% |
171
32.0 IPS |
|
|
Image Classification (I8)
|
97% |
184
34.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
126
2.11 IPS |
|
|
Image Segmentation (F16)
|
100% |
204
3.40 IPS |
|
|
Image Segmentation (I8)
|
98% |
193
3.23 IPS |
|
|
Pose Estimation (F32)
|
100% |
209
0.25 IPS |
|
|
Pose Estimation (F16)
|
100% |
281
0.34 IPS |
|
|
Pose Estimation (I8)
|
100% |
271
0.33 IPS |
|
|
Object Detection (F32)
|
100% |
82
6.12 IPS |
|
|
Object Detection (F16)
|
100% |
122
9.09 IPS |
|
|
Object Detection (I8)
|
62% |
118
8.82 IPS |
|
|
Face Detection (F32)
|
100% |
249
2.96 IPS |
|
|
Face Detection (F16)
|
97% |
445
5.29 IPS |
|
|
Face Detection (I8)
|
87% |
458
5.44 IPS |
|
|
Depth Estimation (F32)
|
100% |
250
1.94 IPS |
|
|
Depth Estimation (F16)
|
100% |
425
3.29 IPS |
|
|
Depth Estimation (I8)
|
95% |
432
3.35 IPS |
|
|
Style Transfer (F32)
|
100% |
476
0.63 IPS |
|
|
Style Transfer (F16)
|
100% |
1013
1.33 IPS |
|
|
Style Transfer (I8)
|
98% |
1011
1.33 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
126
4.52 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
199
7.10 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
205
7.31 IPS |
|
|
Text Classification (F32)
|
100% |
148
212.3 IPS |
|
|
Text Classification (F16)
|
100% |
148
212.6 IPS |
|
|
Text Classification (I8)
|
92% |
288
413.2 IPS |
|
|
Machine Translation (F32)
|
100% |
271
4.99 IPS |
|
|
Machine Translation (F16)
|
100% |
271
4.98 IPS |
|
|
Machine Translation (I8)
|
64% |
294
5.42 IPS |
