OnePlus 12
Geekbench AI Score
1874
Single Precision Score
2738
Half Precision Score
2241
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | September 19 2025 10:44 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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 | 14.85 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1073
199.6 IPS |
|
|
Image Classification (HP)
|
100% |
1603
298.2 IPS |
|
|
Image Classification (Q)
|
100% |
1512
281.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2440
39.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
3960
64.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
3667
59.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
9995
11.7 IPS |
|
|
Pose Estimation (HP)
|
99% |
17473
20.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
16938
19.8 IPS |
|
|
Object Detection (SP)
|
100% |
935
74.1 IPS |
|
|
Object Detection (HP)
|
99% |
1290
102.3 IPS |
|
|
Object Detection (Q)
|
87% |
1266
101.6 IPS |
|
|
Face Detection (SP)
|
100% |
3257
38.7 IPS |
|
|
Face Detection (HP)
|
100% |
5462
64.9 IPS |
|
|
Face Detection (Q)
|
97% |
6326
75.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
4982
38.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
7286
56.3 IPS |
|
|
Depth Estimation (Q)
|
61% |
5474
53.9 IPS |
|
|
Style Transfer (SP)
|
100% |
12101
15.6 IPS |
|
|
Style Transfer (HP)
|
100% |
24200
31.1 IPS |
|
|
Style Transfer (Q)
|
98% |
22884
29.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2347
86.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3451
127.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3338
123.7 IPS |
|
|
Text Classification (SP)
|
35% |
47
457.3 IPS |
|
|
Text Classification (HP)
|
35% |
56
504.7 IPS |
|
|
Text Classification (Q)
|
33% |
42
499.3 IPS |
|
|
Machine Translation (SP)
|
100% |
1009
17.4 IPS |
|
|
Machine Translation (HP)
|
97% |
892
15.4 IPS |
|
|
Machine Translation (Q)
|
43% |
242
13.8 IPS |
