OnePlus 13R
Geekbench AI Score
1083
Single Precision Score
1578
Half Precision Score
1916
Quantized Score
Geekbench AI 1.7.0 for Android AArch64
Result Information
| User | fedrox |
| Upload Date | February 25 2026 12:36 PM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Qualcomm Snapdragon 8 Gen 3 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| Model | OnePlus 13R |
| Model ID | OnePlus CPH2645 |
| 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 | 10.95 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
746
138.7 IPS |
|
|
Image Classification (HP)
|
100% |
894
166.2 IPS |
|
|
Image Classification (Q)
|
99% |
1638
305.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
864
14.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1058
17.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
1470
23.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
2258
2.63 IPS |
|
|
Pose Estimation (HP)
|
92% |
4230
4.97 IPS |
|
|
Pose Estimation (Q)
|
96% |
3673
4.30 IPS |
|
|
Object Detection (SP)
|
98% |
642
51.1 IPS |
|
|
Object Detection (HP)
|
97% |
772
61.5 IPS |
|
|
Object Detection (Q)
|
85% |
1290
103.9 IPS |
|
|
Face Detection (SP)
|
100% |
1470
17.5 IPS |
|
|
Face Detection (HP)
|
100% |
1968
23.4 IPS |
|
|
Face Detection (Q)
|
97% |
2562
30.6 IPS |
|
|
Depth Estimation (SP)
|
99% |
1594
12.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
2642
20.4 IPS |
|
|
Depth Estimation (Q)
|
64% |
2927
27.0 IPS |
|
|
Style Transfer (SP)
|
89% |
3743
4.86 IPS |
|
|
Style Transfer (HP)
|
88% |
4695
6.10 IPS |
|
|
Style Transfer (Q)
|
98% |
10447
13.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
851
31.4 IPS |
|
|
Image Super-Resolution (HP)
|
92% |
1399
52.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1851
68.6 IPS |
|
|
Text Classification (SP)
|
100% |
370
494.2 IPS |
|
|
Text Classification (HP)
|
100% |
814
1.09 KIPS |
|
|
Text Classification (Q)
|
93% |
699
938.0 IPS |
|
|
Machine Translation (SP)
|
100% |
864
14.9 IPS |
|
|
Machine Translation (HP)
|
96% |
1122
19.4 IPS |
|
|
Machine Translation (Q)
|
55% |
578
15.5 IPS |
