vivo V2417
Geekbench AI Score
185
Single Precision Score
278
Half Precision Score
254
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | August 10 2025 09:28 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | vivo V2417 |
| Model ID | vivo V2417 |
| Motherboard | parrot |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3393 revision 2 |
| Base Frequency | 1.96 GHz |
| Cluster 1 | 6 Cores @ 1.96 GHz |
| Cluster 2 | 2 Cores @ 2.21 GHz |
| Memory Information | |
|---|---|
| Size | 7.28 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
130
24.1 IPS |
|
|
Image Classification (HP)
|
100% |
217
40.4 IPS |
|
|
Image Classification (Q)
|
99% |
202
37.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
190
3.09 IPS |
|
|
Image Segmentation (HP)
|
100% |
320
5.19 IPS |
|
|
Image Segmentation (Q)
|
98% |
290
4.72 IPS |
|
|
Pose Estimation (SP)
|
100% |
628
0.73 IPS |
|
|
Pose Estimation (HP)
|
99% |
1110
1.29 IPS |
|
|
Pose Estimation (Q)
|
97% |
1086
1.27 IPS |
|
|
Object Detection (SP)
|
100% |
111
8.80 IPS |
|
|
Object Detection (HP)
|
99% |
179
14.2 IPS |
|
|
Object Detection (Q)
|
85% |
173
13.9 IPS |
|
|
Face Detection (SP)
|
100% |
400
4.75 IPS |
|
|
Face Detection (HP)
|
100% |
628
7.46 IPS |
|
|
Face Detection (Q)
|
97% |
582
6.94 IPS |
|
|
Depth Estimation (SP)
|
100% |
419
3.23 IPS |
|
|
Depth Estimation (HP)
|
98% |
667
5.16 IPS |
|
|
Depth Estimation (Q)
|
65% |
561
5.04 IPS |
|
|
Style Transfer (SP)
|
100% |
891
1.14 IPS |
|
|
Style Transfer (HP)
|
100% |
1372
1.76 IPS |
|
|
Style Transfer (Q)
|
98% |
1305
1.68 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
158
5.85 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
241
8.88 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
196
7.27 IPS |
|
|
Text Classification (SP)
|
35% |
8
78.5 IPS |
|
|
Text Classification (HP)
|
35% |
11
102.9 IPS |
|
|
Text Classification (Q)
|
35% |
11
98.9 IPS |
|
|
Machine Translation (SP)
|
100% |
150
2.58 IPS |
|
|
Machine Translation (HP)
|
97% |
135
2.33 IPS |
|
|
Machine Translation (Q)
|
64% |
112
2.31 IPS |
