OnePlus 12
Geekbench AI Score
246
Single Precision Score
19795
Half Precision Score
47544
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | tuldok89 |
| Upload Date | December 25 2024 06:57 PM |
| Views | 14 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | QNN |
| 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 | 14.90 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
232
43.1 IPS |
|
|
Image Classification (HP)
|
100% |
16078
2.99 KIPS |
|
|
Image Classification (Q)
|
97% |
41724
7.79 KIPS |
|
|
Image Segmentation (SP)
|
100% |
302
4.89 IPS |
|
|
Image Segmentation (HP)
|
100% |
10788
174.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
31215
507.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
359
0.42 IPS |
|
|
Pose Estimation (HP)
|
100% |
76023
88.7 IPS |
|
|
Pose Estimation (Q)
|
98% |
392495
459.4 IPS |
|
|
Object Detection (SP)
|
100% |
117
9.25 IPS |
|
|
Object Detection (HP)
|
100% |
13048
1.03 KIPS |
|
|
Object Detection (Q)
|
86% |
17744
1.43 KIPS |
|
|
Face Detection (SP)
|
100% |
343
4.07 IPS |
|
|
Face Detection (HP)
|
100% |
28649
340.4 IPS |
|
|
Face Detection (Q)
|
97% |
92692
1.11 KIPS |
|
|
Depth Estimation (SP)
|
100% |
271
2.09 IPS |
|
|
Depth Estimation (HP)
|
99% |
56763
437.3 IPS |
|
|
Depth Estimation (Q)
|
63% |
105334
986.3 IPS |
|
|
Style Transfer (SP)
|
100% |
485
0.62 IPS |
|
|
Style Transfer (HP)
|
98% |
81682
105.3 IPS |
|
|
Style Transfer (Q)
|
98% |
415758
536.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
128
4.72 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
38615
1.43 KIPS |
|
|
Image Super-Resolution (Q)
|
97% |
101596
3.76 KIPS |
|
|
Text Classification (SP)
|
100% |
168
224.7 IPS |
|
|
Text Classification (HP)
|
100% |
3160
4.22 KIPS |
|
|
Text Classification (Q)
|
93% |
6708
9.00 KIPS |
|
|
Machine Translation (SP)
|
100% |
290
5.00 IPS |
|
|
Machine Translation (HP)
|
100% |
3313
57.1 IPS |
|
|
Machine Translation (Q)
|
55% |
2352
61.6 IPS |
