vivo I2214
Geekbench ML Score
476
TensorFlow Lite GPU Inference Score
Geekbench ML 0.6.0 for Android AArch64
Result Information
| Upload Date | July 19 2024 02:04 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | vivo I2214 |
| Model ID | vivo I2214 |
| Motherboard | k6895v1_64 |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3393 revision 1 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 4 Cores @ 2.00 GHz |
| Cluster 2 | 3 Cores @ 3.00 GHz |
| Cluster 3 | 1 Core @ 3.10 GHz |
| Memory Information | |
|---|---|
| Size | 7.25 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
318
59.4 IPS |
|
|
Image Classification (F16)
|
100% |
293
54.8 IPS |
|
|
Image Classification (I8)
|
97% |
263
49.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
534
8.92 IPS |
|
|
Image Segmentation (F16)
|
100% |
611
10.2 IPS |
|
|
Image Segmentation (I8)
|
98% |
579
9.66 IPS |
|
|
Pose Estimation (F32)
|
100% |
424
0.51 IPS |
|
|
Pose Estimation (F16)
|
100% |
596
0.72 IPS |
|
|
Pose Estimation (I8)
|
100% |
595
0.72 IPS |
|
|
Object Detection (F32)
|
100% |
128
9.58 IPS |
|
|
Object Detection (F16)
|
100% |
132
9.89 IPS |
|
|
Object Detection (I8)
|
62% |
130
9.74 IPS |
|
|
Face Detection (F32)
|
100% |
726
8.63 IPS |
|
|
Face Detection (F16)
|
98% |
715
8.51 IPS |
|
|
Face Detection (I8)
|
86% |
757
9.01 IPS |
|
|
Depth Estimation (F32)
|
100% |
756
5.86 IPS |
|
|
Depth Estimation (F16)
|
100% |
880
6.82 IPS |
|
|
Depth Estimation (I8)
|
95% |
862
6.68 IPS |
|
|
Style Transfer (F32)
|
100% |
1963
2.58 IPS |
|
|
Style Transfer (F16)
|
100% |
2359
3.10 IPS |
|
|
Style Transfer (I8)
|
98% |
2393
3.15 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
373
13.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
336
12.0 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
493
17.6 IPS |
|
|
Text Classification (F32)
|
100% |
205
295.0 IPS |
|
|
Text Classification (F16)
|
100% |
207
297.2 IPS |
|
|
Text Classification (I8)
|
92% |
391
561.8 IPS |
|
|
Machine Translation (F32)
|
100% |
354
6.51 IPS |
|
|
Machine Translation (F16)
|
100% |
361
6.65 IPS |
|
|
Machine Translation (I8)
|
64% |
438
8.06 IPS |
