vivo V2366HA
Geekbench AI Score
2578
Single Precision Score
2596
Half Precision Score
4186
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| User | dorianed72 |
| Upload Date | December 01 2024 07:20 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | vivo V2366HA |
| Model ID | vivo V2366HA |
| Motherboard | pineapple |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 0 part 3458 revision 1 |
| Base Frequency | 2.26 GHz |
| Cluster 1 | 2 Cores @ 2.27 GHz |
| Cluster 2 | 2 Cores @ 2.96 GHz |
| Cluster 3 | 3 Cores @ 3.15 GHz |
| Cluster 4 | 1 Core @ 3.30 GHz |
| Memory Information | |
|---|---|
| Size | 14.85 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1959
364.3 IPS |
|
|
Image Classification (HP)
|
100% |
2150
399.9 IPS |
|
|
Image Classification (Q)
|
100% |
3658
680.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2441
39.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2514
40.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
4286
69.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
4244
4.95 IPS |
|
|
Pose Estimation (HP)
|
100% |
4034
4.71 IPS |
|
|
Pose Estimation (Q)
|
84% |
9206
10.9 IPS |
|
|
Object Detection (SP)
|
98% |
1832
145.8 IPS |
|
|
Object Detection (HP)
|
98% |
2051
163.2 IPS |
|
|
Object Detection (Q)
|
83% |
2774
224.0 IPS |
|
|
Face Detection (SP)
|
100% |
3731
44.3 IPS |
|
|
Face Detection (HP)
|
100% |
3718
44.2 IPS |
|
|
Face Detection (Q)
|
95% |
6977
83.3 IPS |
|
|
Depth Estimation (SP)
|
99% |
3912
30.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
3601
27.8 IPS |
|
|
Depth Estimation (Q)
|
64% |
6661
61.0 IPS |
|
|
Style Transfer (SP)
|
89% |
9523
12.4 IPS |
|
|
Style Transfer (HP)
|
89% |
9310
12.1 IPS |
|
|
Style Transfer (Q)
|
98% |
18408
23.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2016
74.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2085
77.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
5160
191.2 IPS |
|
|
Text Classification (SP)
|
100% |
916
1.22 KIPS |
|
|
Text Classification (HP)
|
99% |
923
1.23 KIPS |
|
|
Text Classification (Q)
|
88% |
1342
1.81 KIPS |
|
|
Machine Translation (SP)
|
100% |
1361
23.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1296
22.3 IPS |
|
|
Machine Translation (Q)
|
50% |
697
24.7 IPS |
