OnePlus 11R
Geekbench AI Score
894
Single Precision Score
1010
Half Precision Score
2140
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | December 22 2024 12:40 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Qualcomm Snapdragon 8+ Gen 1 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| 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% |
438
81.4 IPS |
|
|
Image Classification (HP)
|
100% |
453
84.2 IPS |
|
|
Image Classification (Q)
|
100% |
1554
288.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
579
9.39 IPS |
|
|
Image Segmentation (HP)
|
100% |
571
9.26 IPS |
|
|
Image Segmentation (Q)
|
98% |
1747
28.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
2239
2.61 IPS |
|
|
Pose Estimation (HP)
|
100% |
2245
2.62 IPS |
|
|
Pose Estimation (Q)
|
84% |
4966
5.89 IPS |
|
|
Object Detection (SP)
|
100% |
448
35.5 IPS |
|
|
Object Detection (HP)
|
100% |
449
35.6 IPS |
|
|
Object Detection (Q)
|
83% |
1507
121.8 IPS |
|
|
Face Detection (SP)
|
100% |
1542
18.3 IPS |
|
|
Face Detection (HP)
|
100% |
1545
18.4 IPS |
|
|
Face Detection (Q)
|
95% |
3599
43.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
2096
16.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
2105
16.2 IPS |
|
|
Depth Estimation (Q)
|
64% |
3849
35.3 IPS |
|
|
Style Transfer (SP)
|
89% |
3203
4.16 IPS |
|
|
Style Transfer (HP)
|
89% |
3662
4.75 IPS |
|
|
Style Transfer (Q)
|
98% |
10352
13.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1100
40.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1085
40.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2554
94.6 IPS |
|
|
Text Classification (SP)
|
100% |
150
200.8 IPS |
|
|
Text Classification (HP)
|
100% |
442
590.3 IPS |
|
|
Text Classification (Q)
|
88% |
498
671.5 IPS |
|
|
Machine Translation (SP)
|
100% |
755
13.0 IPS |
|
|
Machine Translation (HP)
|
100% |
746
12.9 IPS |
|
|
Machine Translation (Q)
|
50% |
546
19.4 IPS |
