OnePlus 12
Geekbench AI Score
2567
Single Precision Score
2537
Half Precision Score
3036
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | January 02 2025 05:57 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Qualcomm Snapdragon 8 Gen 3 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | OnePlus 12 |
| Model ID | OnePlus CPH2581 |
| 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 | 14.89 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1671
310.8 IPS |
|
|
Image Classification (HP)
|
100% |
1697
315.6 IPS |
|
|
Image Classification (Q)
|
100% |
2587
481.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2435
39.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2374
38.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
3320
54.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
4313
5.03 IPS |
|
|
Pose Estimation (HP)
|
100% |
4252
4.96 IPS |
|
|
Pose Estimation (Q)
|
84% |
8876
10.5 IPS |
|
|
Object Detection (SP)
|
98% |
1689
134.4 IPS |
|
|
Object Detection (HP)
|
98% |
1690
134.5 IPS |
|
|
Object Detection (Q)
|
83% |
2122
171.4 IPS |
|
|
Face Detection (SP)
|
100% |
3699
44.0 IPS |
|
|
Face Detection (HP)
|
100% |
3659
43.5 IPS |
|
|
Face Detection (Q)
|
95% |
5240
62.6 IPS |
|
|
Depth Estimation (SP)
|
99% |
3990
30.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
3496
27.0 IPS |
|
|
Depth Estimation (Q)
|
64% |
4928
45.1 IPS |
|
|
Style Transfer (SP)
|
89% |
9630
12.5 IPS |
|
|
Style Transfer (HP)
|
89% |
9815
12.7 IPS |
|
|
Style Transfer (Q)
|
98% |
17263
22.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1701
62.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1827
67.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3159
117.1 IPS |
|
|
Text Classification (SP)
|
100% |
961
1.28 KIPS |
|
|
Text Classification (HP)
|
99% |
971
1.30 KIPS |
|
|
Text Classification (Q)
|
88% |
769
1.04 KIPS |
|
|
Machine Translation (SP)
|
100% |
1807
31.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1715
29.5 IPS |
|
|
Machine Translation (Q)
|
50% |
380
13.5 IPS |
