vivo I2217
Geekbench AI Score
267
Single Precision Score
266
Half Precision Score
644
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | December 27 2024 09:21 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 13 |
| 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% |
136
25.2 IPS |
|
|
Image Classification (HP)
|
100% |
137
25.4 IPS |
|
|
Image Classification (Q)
|
99% |
362
67.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
179
2.91 IPS |
|
|
Image Segmentation (HP)
|
100% |
181
2.93 IPS |
|
|
Image Segmentation (Q)
|
98% |
390
6.34 IPS |
|
|
Pose Estimation (SP)
|
100% |
248
0.29 IPS |
|
|
Pose Estimation (HP)
|
100% |
253
0.29 IPS |
|
|
Pose Estimation (Q)
|
98% |
1146
1.34 IPS |
|
|
Object Detection (SP)
|
100% |
162
12.8 IPS |
|
|
Object Detection (HP)
|
100% |
163
12.9 IPS |
|
|
Object Detection (Q)
|
87% |
489
39.2 IPS |
|
|
Face Detection (SP)
|
100% |
455
5.40 IPS |
|
|
Face Detection (HP)
|
100% |
456
5.42 IPS |
|
|
Face Detection (Q)
|
97% |
1077
12.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
369
2.84 IPS |
|
|
Depth Estimation (HP)
|
99% |
341
2.63 IPS |
|
|
Depth Estimation (Q)
|
64% |
926
8.40 IPS |
|
|
Style Transfer (SP)
|
100% |
663
0.85 IPS |
|
|
Style Transfer (HP)
|
100% |
655
0.84 IPS |
|
|
Style Transfer (Q)
|
98% |
1586
2.04 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
179
6.62 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
179
6.63 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
660
24.5 IPS |
|
|
Text Classification (SP)
|
100% |
238
318.2 IPS |
|
|
Text Classification (HP)
|
100% |
236
314.6 IPS |
|
|
Text Classification (Q)
|
91% |
426
573.0 IPS |
|
|
Machine Translation (SP)
|
100% |
400
6.90 IPS |
|
|
Machine Translation (HP)
|
100% |
404
6.95 IPS |
|
|
Machine Translation (Q)
|
57% |
352
8.61 IPS |
