OnePlus Pad 2 (OPD2403) OnePlus OPD2403
Geekbench AI Score
2425
Single Precision Score
2332
Half Precision Score
3735
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| User | Technomen |
| Upload Date | October 08 2024 05:51 AM |
| Views | 26 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | OnePlus OPD2403 |
| Model ID | OnePlus OPD2403 |
| Motherboard | pineapple |
| Governor | uag |
| 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 | 11.30 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2037
378.7 IPS |
|
|
Image Classification (HP)
|
100% |
1991
370.3 IPS |
|
|
Image Classification (Q)
|
100% |
3707
689.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2425
39.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2435
39.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
4054
65.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
3822
4.46 IPS |
|
|
Pose Estimation (HP)
|
100% |
3652
4.26 IPS |
|
|
Pose Estimation (Q)
|
84% |
8606
10.2 IPS |
|
|
Object Detection (SP)
|
98% |
2081
165.6 IPS |
|
|
Object Detection (HP)
|
98% |
2091
166.4 IPS |
|
|
Object Detection (Q)
|
83% |
3165
255.7 IPS |
|
|
Face Detection (SP)
|
100% |
3865
45.9 IPS |
|
|
Face Detection (HP)
|
100% |
3814
45.3 IPS |
|
|
Face Detection (Q)
|
95% |
6979
83.3 IPS |
|
|
Depth Estimation (SP)
|
99% |
3826
29.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
3542
27.4 IPS |
|
|
Depth Estimation (Q)
|
64% |
6505
59.6 IPS |
|
|
Style Transfer (SP)
|
89% |
9550
12.4 IPS |
|
|
Style Transfer (HP)
|
89% |
9373
12.2 IPS |
|
|
Style Transfer (Q)
|
98% |
13296
17.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1450
53.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1444
53.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3365
124.7 IPS |
|
|
Text Classification (SP)
|
100% |
618
824.8 IPS |
|
|
Text Classification (HP)
|
99% |
618
824.2 IPS |
|
|
Text Classification (Q)
|
88% |
935
1.26 KIPS |
|
|
Machine Translation (SP)
|
100% |
1417
24.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1140
19.6 IPS |
|
|
Machine Translation (Q)
|
50% |
680
24.1 IPS |
