OnePlus CPH2583
Geekbench AI Score
870
Single Precision Score
1406
Half Precision Score
1363
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | all3open |
| Upload Date | February 17 2025 06:24 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | OnePlus CPH2583 |
| Model ID | OnePlus CPH2583 |
| 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 | 14.85 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
600
111.6 IPS |
|
|
Image Classification (HP)
|
100% |
919
171.0 IPS |
|
|
Image Classification (Q)
|
96% |
825
154.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1151
18.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1929
31.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
1875
30.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
1104
1.29 IPS |
|
|
Pose Estimation (HP)
|
100% |
2561
2.99 IPS |
|
|
Pose Estimation (Q)
|
96% |
2548
2.99 IPS |
|
|
Object Detection (SP)
|
100% |
715
56.7 IPS |
|
|
Object Detection (HP)
|
100% |
995
78.9 IPS |
|
|
Object Detection (Q)
|
87% |
978
78.5 IPS |
|
|
Face Detection (SP)
|
100% |
2185
26.0 IPS |
|
|
Face Detection (HP)
|
100% |
3169
37.7 IPS |
|
|
Face Detection (Q)
|
97% |
2602
31.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
1812
14.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
3424
26.5 IPS |
|
|
Depth Estimation (Q)
|
63% |
2924
27.1 IPS |
|
|
Style Transfer (SP)
|
100% |
6752
8.68 IPS |
|
|
Style Transfer (HP)
|
100% |
10862
14.0 IPS |
|
|
Style Transfer (Q)
|
98% |
10569
13.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
533
19.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1517
56.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1435
53.2 IPS |
|
|
Text Classification (SP)
|
100% |
133
177.3 IPS |
|
|
Text Classification (HP)
|
100% |
133
177.5 IPS |
|
|
Text Classification (Q)
|
91% |
216
290.4 IPS |
|
|
Machine Translation (SP)
|
100% |
241
4.14 IPS |
|
|
Machine Translation (HP)
|
100% |
282
4.86 IPS |
|
|
Machine Translation (Q)
|
57% |
231
5.64 IPS |
