OnePlus CPH2691
Geekbench AI Score
888
Single Precision Score
1281
Half Precision Score
1208
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | January 06 2025 06:48 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | OnePlus CPH2691 |
| Model ID | OnePlus CPH2691 |
| 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 | 14.90 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
552
102.6 IPS |
|
|
Image Classification (HP)
|
100% |
514
95.5 IPS |
|
|
Image Classification (Q)
|
96% |
485
90.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1308
21.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1139
18.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
1120
18.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
1105
1.29 IPS |
|
|
Pose Estimation (HP)
|
100% |
2573
3.00 IPS |
|
|
Pose Estimation (Q)
|
96% |
2549
2.99 IPS |
|
|
Object Detection (SP)
|
100% |
726
57.6 IPS |
|
|
Object Detection (HP)
|
100% |
1087
86.2 IPS |
|
|
Object Detection (Q)
|
87% |
715
57.4 IPS |
|
|
Face Detection (SP)
|
100% |
1799
21.4 IPS |
|
|
Face Detection (HP)
|
100% |
2646
31.4 IPS |
|
|
Face Detection (Q)
|
97% |
2279
27.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
1825
14.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
3671
28.4 IPS |
|
|
Depth Estimation (Q)
|
63% |
2999
27.8 IPS |
|
|
Style Transfer (SP)
|
100% |
6785
8.72 IPS |
|
|
Style Transfer (HP)
|
100% |
10870
14.0 IPS |
|
|
Style Transfer (Q)
|
98% |
10820
14.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
542
20.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1552
57.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1515
56.1 IPS |
|
|
Text Classification (SP)
|
100% |
156
208.5 IPS |
|
|
Text Classification (HP)
|
100% |
157
209.9 IPS |
|
|
Text Classification (Q)
|
91% |
257
345.1 IPS |
|
|
Machine Translation (SP)
|
100% |
282
4.87 IPS |
|
|
Machine Translation (HP)
|
100% |
283
4.87 IPS |
|
|
Machine Translation (Q)
|
57% |
233
5.68 IPS |
