OnePlus CPH2419
Geekbench AI Score
414
Single Precision Score
398
Half Precision Score
1006
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | December 25 2024 08:20 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 12 |
| Model | OnePlus CPH2419 |
| Model ID | OnePlus CPH2419 |
| 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 | 2.02 GHz |
| Cluster 1 | 4 Cores @ 2.02 GHz |
| Cluster 2 | 3 Cores @ 2.75 GHz |
| Cluster 3 | 1 Core @ 3.19 GHz |
| Memory Information | |
|---|---|
| Size | 7.07 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
195
36.3 IPS |
|
|
Image Classification (HP)
|
100% |
173
32.3 IPS |
|
|
Image Classification (Q)
|
100% |
725
134.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
246
3.99 IPS |
|
|
Image Segmentation (HP)
|
100% |
246
3.99 IPS |
|
|
Image Segmentation (Q)
|
98% |
721
11.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
973
1.14 IPS |
|
|
Pose Estimation (HP)
|
100% |
825
0.96 IPS |
|
|
Pose Estimation (Q)
|
84% |
2096
2.49 IPS |
|
|
Object Detection (SP)
|
98% |
206
16.4 IPS |
|
|
Object Detection (HP)
|
98% |
127
10.1 IPS |
|
|
Object Detection (Q)
|
83% |
628
50.8 IPS |
|
|
Face Detection (SP)
|
100% |
629
7.47 IPS |
|
|
Face Detection (HP)
|
100% |
606
7.20 IPS |
|
|
Face Detection (Q)
|
95% |
1522
18.2 IPS |
|
|
Depth Estimation (SP)
|
99% |
723
5.59 IPS |
|
|
Depth Estimation (HP)
|
99% |
753
5.82 IPS |
|
|
Depth Estimation (Q)
|
64% |
1514
13.9 IPS |
|
|
Style Transfer (SP)
|
89% |
1474
1.91 IPS |
|
|
Style Transfer (HP)
|
89% |
1475
1.91 IPS |
|
|
Style Transfer (Q)
|
98% |
4299
5.54 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
441
16.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
420
15.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1071
39.7 IPS |
|
|
Text Classification (SP)
|
100% |
212
282.9 IPS |
|
|
Text Classification (HP)
|
99% |
224
298.8 IPS |
|
|
Text Classification (Q)
|
88% |
451
607.7 IPS |
|
|
Machine Translation (SP)
|
100% |
246
4.23 IPS |
|
|
Machine Translation (HP)
|
100% |
357
6.15 IPS |
|
|
Machine Translation (Q)
|
50% |
324
11.5 IPS |
