OnePlus CPH2645
Geekbench AI Score
216
Single Precision Score
207
Half Precision Score
441
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | December 30 2024 03:50 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | OnePlus CPH2645 |
| 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 | 10.99 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
179
33.3 IPS |
|
|
Image Classification (HP)
|
100% |
114
21.3 IPS |
|
|
Image Classification (Q)
|
99% |
278
51.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
153
2.48 IPS |
|
|
Image Segmentation (HP)
|
100% |
155
2.51 IPS |
|
|
Image Segmentation (Q)
|
98% |
303
4.93 IPS |
|
|
Pose Estimation (SP)
|
100% |
198
0.23 IPS |
|
|
Pose Estimation (HP)
|
100% |
202
0.24 IPS |
|
|
Pose Estimation (Q)
|
98% |
750
0.88 IPS |
|
|
Object Detection (SP)
|
100% |
115
9.14 IPS |
|
|
Object Detection (HP)
|
100% |
113
8.95 IPS |
|
|
Object Detection (Q)
|
87% |
310
24.8 IPS |
|
|
Face Detection (SP)
|
100% |
340
4.04 IPS |
|
|
Face Detection (HP)
|
100% |
342
4.06 IPS |
|
|
Face Detection (Q)
|
97% |
652
7.77 IPS |
|
|
Depth Estimation (SP)
|
100% |
270
2.08 IPS |
|
|
Depth Estimation (HP)
|
99% |
274
2.11 IPS |
|
|
Depth Estimation (Q)
|
64% |
636
5.77 IPS |
|
|
Style Transfer (SP)
|
100% |
666
0.86 IPS |
|
|
Style Transfer (HP)
|
100% |
676
0.87 IPS |
|
|
Style Transfer (Q)
|
98% |
1335
1.72 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
134
4.94 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
128
4.71 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
433
16.1 IPS |
|
|
Text Classification (SP)
|
100% |
157
209.2 IPS |
|
|
Text Classification (HP)
|
100% |
156
208.7 IPS |
|
|
Text Classification (Q)
|
91% |
257
345.6 IPS |
|
|
Machine Translation (SP)
|
100% |
287
4.95 IPS |
|
|
Machine Translation (HP)
|
100% |
286
4.93 IPS |
|
|
Machine Translation (Q)
|
57% |
233
5.69 IPS |
