OnePlus OPD2403
Geekbench AI Score
2310
Single Precision Score
2285
Half Precision Score
2741
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | January 02 2025 12:03 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| 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% |
1803
335.3 IPS |
|
|
Image Classification (HP)
|
100% |
1889
351.4 IPS |
|
|
Image Classification (Q)
|
100% |
2562
476.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2386
38.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2359
38.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
3161
51.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
3557
4.15 IPS |
|
|
Pose Estimation (HP)
|
100% |
3399
3.97 IPS |
|
|
Pose Estimation (Q)
|
84% |
7753
9.19 IPS |
|
|
Object Detection (SP)
|
98% |
1525
121.4 IPS |
|
|
Object Detection (HP)
|
98% |
1542
122.7 IPS |
|
|
Object Detection (Q)
|
83% |
1976
159.6 IPS |
|
|
Face Detection (SP)
|
100% |
3422
40.7 IPS |
|
|
Face Detection (HP)
|
100% |
3372
40.1 IPS |
|
|
Face Detection (Q)
|
95% |
4872
58.2 IPS |
|
|
Depth Estimation (SP)
|
99% |
3373
26.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
3224
24.9 IPS |
|
|
Depth Estimation (Q)
|
64% |
4922
45.1 IPS |
|
|
Style Transfer (SP)
|
89% |
9502
12.3 IPS |
|
|
Style Transfer (HP)
|
89% |
9198
11.9 IPS |
|
|
Style Transfer (Q)
|
98% |
12653
16.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1310
48.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1296
47.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2528
93.7 IPS |
|
|
Text Classification (SP)
|
100% |
866
1.16 KIPS |
|
|
Text Classification (HP)
|
99% |
930
1.24 KIPS |
|
|
Text Classification (Q)
|
88% |
693
934.5 IPS |
|
|
Machine Translation (SP)
|
100% |
1495
25.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1384
23.8 IPS |
|
|
Machine Translation (Q)
|
50% |
363
12.9 IPS |
