OnePlus 11R
Geekbench AI Score
1142
Single Precision Score
1046
Half Precision Score
2212
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | December 25 2024 08:08 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Qualcomm Snapdragon 8+ Gen 1 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | OnePlus 11R |
| Model ID | OnePlus CPH2487 |
| Motherboard | taro |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 2 part 3400 revision 0 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 4 Cores @ 1.80 GHz |
| Cluster 2 | 3 Cores @ 2.50 GHz |
| Cluster 3 | 1 Core @ 3.00 GHz |
| Memory Information | |
|---|---|
| Size | 7.06 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
596
110.9 IPS |
|
|
Image Classification (HP)
|
100% |
566
105.2 IPS |
|
|
Image Classification (Q)
|
100% |
1838
341.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
712
11.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
709
11.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
2161
35.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
2411
2.81 IPS |
|
|
Pose Estimation (HP)
|
100% |
2381
2.78 IPS |
|
|
Pose Estimation (Q)
|
84% |
5126
6.08 IPS |
|
|
Object Detection (SP)
|
100% |
474
37.6 IPS |
|
|
Object Detection (HP)
|
100% |
476
37.8 IPS |
|
|
Object Detection (Q)
|
83% |
1558
125.8 IPS |
|
|
Face Detection (SP)
|
100% |
1662
19.8 IPS |
|
|
Face Detection (HP)
|
100% |
1668
19.8 IPS |
|
|
Face Detection (Q)
|
95% |
3801
45.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
2281
17.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
2255
17.4 IPS |
|
|
Depth Estimation (Q)
|
64% |
4062
37.2 IPS |
|
|
Style Transfer (SP)
|
89% |
4031
5.23 IPS |
|
|
Style Transfer (HP)
|
89% |
3940
5.12 IPS |
|
|
Style Transfer (Q)
|
98% |
11186
14.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1226
45.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1199
44.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2426
89.9 IPS |
|
|
Text Classification (SP)
|
100% |
632
844.1 IPS |
|
|
Text Classification (HP)
|
100% |
296
395.2 IPS |
|
|
Text Classification (Q)
|
88% |
533
719.2 IPS |
|
|
Machine Translation (SP)
|
100% |
659
11.4 IPS |
|
|
Machine Translation (HP)
|
100% |
659
11.3 IPS |
|
|
Machine Translation (Q)
|
50% |
397
14.1 IPS |
