OnePlus CPH2583
Geekbench AI Score
2005
Single Precision Score
2006
Half Precision Score
2403
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | December 21 2024 10:31 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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 | 14.90 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1314
244.3 IPS |
|
|
Image Classification (HP)
|
100% |
1324
246.2 IPS |
|
|
Image Classification (Q)
|
100% |
1846
343.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1864
30.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1836
29.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
2295
37.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
3365
3.93 IPS |
|
|
Pose Estimation (HP)
|
100% |
3382
3.95 IPS |
|
|
Pose Estimation (Q)
|
84% |
7277
8.63 IPS |
|
|
Object Detection (SP)
|
98% |
1328
105.7 IPS |
|
|
Object Detection (HP)
|
98% |
1367
108.8 IPS |
|
|
Object Detection (Q)
|
83% |
1583
127.8 IPS |
|
|
Face Detection (SP)
|
100% |
2991
35.5 IPS |
|
|
Face Detection (HP)
|
100% |
2978
35.4 IPS |
|
|
Face Detection (Q)
|
95% |
4206
50.2 IPS |
|
|
Depth Estimation (SP)
|
99% |
3123
24.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
3117
24.1 IPS |
|
|
Depth Estimation (Q)
|
64% |
4254
39.0 IPS |
|
|
Style Transfer (SP)
|
89% |
8417
10.9 IPS |
|
|
Style Transfer (HP)
|
89% |
8389
10.9 IPS |
|
|
Style Transfer (Q)
|
98% |
14026
18.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1435
53.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1448
53.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2563
95.0 IPS |
|
|
Text Classification (SP)
|
100% |
685
914.5 IPS |
|
|
Text Classification (HP)
|
99% |
695
927.9 IPS |
|
|
Text Classification (Q)
|
88% |
590
796.2 IPS |
|
|
Machine Translation (SP)
|
100% |
1245
21.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1204
20.7 IPS |
|
|
Machine Translation (Q)
|
50% |
348
12.4 IPS |
