OnePlus CPH2583
Geekbench AI Score
871
Single Precision Score
1444
Half Precision Score
1358
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| User | UrkMrl |
| Upload Date | November 19 2024 04:58 PM |
| Views | 11 |
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 | 14.90 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
560
104.2 IPS |
|
|
Image Classification (HP)
|
100% |
908
168.9 IPS |
|
|
Image Classification (Q)
|
96% |
822
153.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1265
20.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2410
39.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
2083
33.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
1098
1.28 IPS |
|
|
Pose Estimation (HP)
|
100% |
2576
3.01 IPS |
|
|
Pose Estimation (Q)
|
96% |
2560
3.00 IPS |
|
|
Object Detection (SP)
|
100% |
746
59.2 IPS |
|
|
Object Detection (HP)
|
100% |
1076
85.4 IPS |
|
|
Object Detection (Q)
|
87% |
1074
86.3 IPS |
|
|
Face Detection (SP)
|
100% |
1753
20.8 IPS |
|
|
Face Detection (HP)
|
100% |
2626
31.2 IPS |
|
|
Face Detection (Q)
|
97% |
1820
21.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
1827
14.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
3809
29.4 IPS |
|
|
Depth Estimation (Q)
|
63% |
3112
28.9 IPS |
|
|
Style Transfer (SP)
|
100% |
6744
8.67 IPS |
|
|
Style Transfer (HP)
|
100% |
10858
14.0 IPS |
|
|
Style Transfer (Q)
|
98% |
10715
13.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
540
19.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1606
59.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1470
54.5 IPS |
|
|
Text Classification (SP)
|
100% |
132
176.2 IPS |
|
|
Text Classification (HP)
|
100% |
132
176.6 IPS |
|
|
Text Classification (Q)
|
91% |
218
292.7 IPS |
|
|
Machine Translation (SP)
|
100% |
282
4.85 IPS |
|
|
Machine Translation (HP)
|
100% |
283
4.87 IPS |
|
|
Machine Translation (Q)
|
57% |
233
5.69 IPS |
