OnePlus 11R
Geekbench AI Score
967
Single Precision Score
959
Half Precision Score
1923
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | November 09 2024 03:42 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 | 14.86 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
469
87.2 IPS |
|
|
Image Classification (HP)
|
100% |
468
87.0 IPS |
|
|
Image Classification (Q)
|
100% |
1713
318.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
602
9.77 IPS |
|
|
Image Segmentation (HP)
|
100% |
597
9.68 IPS |
|
|
Image Segmentation (Q)
|
98% |
1838
29.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
2159
2.52 IPS |
|
|
Pose Estimation (HP)
|
100% |
2037
2.38 IPS |
|
|
Pose Estimation (Q)
|
84% |
4472
5.30 IPS |
|
|
Object Detection (SP)
|
100% |
402
31.9 IPS |
|
|
Object Detection (HP)
|
100% |
403
31.9 IPS |
|
|
Object Detection (Q)
|
83% |
1510
122.0 IPS |
|
|
Face Detection (SP)
|
100% |
1428
17.0 IPS |
|
|
Face Detection (HP)
|
100% |
1436
17.1 IPS |
|
|
Face Detection (Q)
|
95% |
3218
38.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
1948
15.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
1938
14.9 IPS |
|
|
Depth Estimation (Q)
|
64% |
3487
31.9 IPS |
|
|
Style Transfer (SP)
|
89% |
3312
4.30 IPS |
|
|
Style Transfer (HP)
|
89% |
3318
4.31 IPS |
|
|
Style Transfer (Q)
|
98% |
9291
12.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1055
39.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1037
38.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2279
84.4 IPS |
|
|
Text Classification (SP)
|
100% |
430
574.3 IPS |
|
|
Text Classification (HP)
|
100% |
434
579.2 IPS |
|
|
Text Classification (Q)
|
88% |
790
1.07 KIPS |
|
|
Machine Translation (SP)
|
100% |
703
12.1 IPS |
|
|
Machine Translation (HP)
|
100% |
697
12.0 IPS |
|
|
Machine Translation (Q)
|
50% |
174
6.19 IPS |
