vivo I2217
Geekbench AI Score
213
Single Precision Score
213
Half Precision Score
490
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | September 24 2024 08:37 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | vivo I2217 |
| Model ID | vivo I2217 |
| Motherboard | taro |
| Governor | walt |
| 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 @ 2.50 GHz |
| Cluster 3 | 1 Core @ 3.00 GHz |
| Memory Information | |
|---|---|
| Size | 11.06 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
135
25.1 IPS |
|
|
Image Classification (HP)
|
100% |
136
25.3 IPS |
|
|
Image Classification (Q)
|
99% |
360
67.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
179
2.90 IPS |
|
|
Image Segmentation (HP)
|
100% |
180
2.92 IPS |
|
|
Image Segmentation (Q)
|
98% |
390
6.35 IPS |
|
|
Pose Estimation (SP)
|
100% |
242
0.28 IPS |
|
|
Pose Estimation (HP)
|
100% |
234
0.27 IPS |
|
|
Pose Estimation (Q)
|
98% |
814
0.95 IPS |
|
|
Object Detection (SP)
|
100% |
128
10.1 IPS |
|
|
Object Detection (HP)
|
100% |
128
10.2 IPS |
|
|
Object Detection (Q)
|
87% |
336
27.0 IPS |
|
|
Face Detection (SP)
|
100% |
314
3.74 IPS |
|
|
Face Detection (HP)
|
100% |
316
3.75 IPS |
|
|
Face Detection (Q)
|
97% |
686
8.18 IPS |
|
|
Depth Estimation (SP)
|
100% |
268
2.07 IPS |
|
|
Depth Estimation (HP)
|
99% |
269
2.08 IPS |
|
|
Depth Estimation (Q)
|
64% |
648
5.88 IPS |
|
|
Style Transfer (SP)
|
100% |
482
0.62 IPS |
|
|
Style Transfer (HP)
|
100% |
482
0.62 IPS |
|
|
Style Transfer (Q)
|
98% |
1288
1.66 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
133
4.92 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
133
4.91 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
465
17.2 IPS |
|
|
Text Classification (SP)
|
100% |
170
227.2 IPS |
|
|
Text Classification (HP)
|
100% |
171
228.1 IPS |
|
|
Text Classification (Q)
|
91% |
302
405.6 IPS |
|
|
Machine Translation (SP)
|
100% |
290
5.00 IPS |
|
|
Machine Translation (HP)
|
100% |
289
4.98 IPS |
|
|
Machine Translation (Q)
|
57% |
262
6.41 IPS |
