OnePlus 12
Geekbench AI Score
2598
Single Precision Score
2588
Half Precision Score
3197
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | wishbone521 |
| Upload Date | January 03 2025 03:38 PM |
| Views | 10 |
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% |
1710
318.0 IPS |
|
|
Image Classification (HP)
|
100% |
1750
325.4 IPS |
|
|
Image Classification (Q)
|
100% |
2662
495.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2418
39.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2384
38.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
3284
53.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
4266
4.98 IPS |
|
|
Pose Estimation (HP)
|
100% |
4302
5.02 IPS |
|
|
Pose Estimation (Q)
|
84% |
9401
11.1 IPS |
|
|
Object Detection (SP)
|
98% |
1730
137.7 IPS |
|
|
Object Detection (HP)
|
98% |
1728
137.5 IPS |
|
|
Object Detection (Q)
|
83% |
2149
173.6 IPS |
|
|
Face Detection (SP)
|
100% |
3689
43.8 IPS |
|
|
Face Detection (HP)
|
100% |
3602
42.8 IPS |
|
|
Face Detection (Q)
|
95% |
5435
64.9 IPS |
|
|
Depth Estimation (SP)
|
99% |
3821
29.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
3949
30.5 IPS |
|
|
Depth Estimation (Q)
|
64% |
5583
51.1 IPS |
|
|
Style Transfer (SP)
|
89% |
10163
13.2 IPS |
|
|
Style Transfer (HP)
|
89% |
10105
13.1 IPS |
|
|
Style Transfer (Q)
|
98% |
18426
23.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1838
67.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1808
66.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3496
129.6 IPS |
|
|
Text Classification (SP)
|
100% |
968
1.29 KIPS |
|
|
Text Classification (HP)
|
99% |
957
1.28 KIPS |
|
|
Text Classification (Q)
|
88% |
784
1.06 KIPS |
|
|
Machine Translation (SP)
|
100% |
1804
31.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1748
30.1 IPS |
|
|
Machine Translation (Q)
|
50% |
413
14.7 IPS |
