OnePlus CPH2663
Geekbench AI Score
262
Single Precision Score
262
Half Precision Score
24289
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | January 12 2025 02:06 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | QNN |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | OnePlus CPH2663 |
| Model ID | OnePlus CPH2663 |
| 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 | 1.90 GHz |
| Cluster 1 | 3 Cores @ 1.90 GHz |
| Cluster 2 | 4 Cores @ 2.61 GHz |
| Cluster 3 | 1 Core @ 2.80 GHz |
| Memory Information | |
|---|---|
| Size | 11.04 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
276
51.3 IPS |
|
|
Image Classification (HP)
|
100% |
278
51.7 IPS |
|
|
Image Classification (Q)
|
97% |
21069
3.93 KIPS |
|
|
Image Segmentation (SP)
|
100% |
146
2.37 IPS |
|
|
Image Segmentation (HP)
|
100% |
177
2.88 IPS |
|
|
Image Segmentation (Q)
|
98% |
16523
268.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
317
0.37 IPS |
|
|
Pose Estimation (HP)
|
100% |
255
0.30 IPS |
|
|
Pose Estimation (Q)
|
98% |
136456
159.7 IPS |
|
|
Object Detection (SP)
|
100% |
109
8.66 IPS |
|
|
Object Detection (HP)
|
100% |
172
13.6 IPS |
|
|
Object Detection (Q)
|
86% |
10107
812.7 IPS |
|
|
Face Detection (SP)
|
100% |
340
4.04 IPS |
|
|
Face Detection (HP)
|
100% |
316
3.76 IPS |
|
|
Face Detection (Q)
|
97% |
52201
622.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
397
3.06 IPS |
|
|
Depth Estimation (HP)
|
99% |
383
2.95 IPS |
|
|
Depth Estimation (Q)
|
63% |
56492
529.0 IPS |
|
|
Style Transfer (SP)
|
100% |
652
0.84 IPS |
|
|
Style Transfer (HP)
|
100% |
635
0.82 IPS |
|
|
Style Transfer (Q)
|
98% |
199307
257.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
191
7.07 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
211
7.78 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
33180
1.23 KIPS |
|
|
Text Classification (SP)
|
100% |
154
205.0 IPS |
|
|
Text Classification (HP)
|
100% |
154
205.1 IPS |
|
|
Text Classification (Q)
|
93% |
5257
7.06 KIPS |
|
|
Machine Translation (SP)
|
100% |
424
7.31 IPS |
|
|
Machine Translation (HP)
|
100% |
289
4.98 IPS |
|
|
Machine Translation (Q)
|
55% |
1452
38.0 IPS |
