OnePlus CPH2583
Geekbench AI Score
2188
Single Precision Score
2172
Half Precision Score
2862
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | Ziyaad |
| Upload Date | December 14 2024 06:19 PM |
| Views | 8 |
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% |
1666
309.9 IPS |
|
|
Image Classification (HP)
|
100% |
1684
313.2 IPS |
|
|
Image Classification (Q)
|
100% |
2565
477.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2242
36.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2334
37.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
3315
53.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
3964
4.63 IPS |
|
|
Pose Estimation (HP)
|
100% |
3716
4.34 IPS |
|
|
Pose Estimation (Q)
|
84% |
7911
9.38 IPS |
|
|
Object Detection (SP)
|
98% |
1671
133.0 IPS |
|
|
Object Detection (HP)
|
98% |
1564
124.4 IPS |
|
|
Object Detection (Q)
|
83% |
1961
158.4 IPS |
|
|
Face Detection (SP)
|
100% |
3109
36.9 IPS |
|
|
Face Detection (HP)
|
100% |
3098
36.8 IPS |
|
|
Face Detection (Q)
|
95% |
4705
56.2 IPS |
|
|
Depth Estimation (SP)
|
99% |
3111
24.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
3091
23.9 IPS |
|
|
Depth Estimation (Q)
|
64% |
4837
44.3 IPS |
|
|
Style Transfer (SP)
|
89% |
8264
10.7 IPS |
|
|
Style Transfer (HP)
|
89% |
8282
10.8 IPS |
|
|
Style Transfer (Q)
|
98% |
15272
19.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1488
55.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1460
53.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3113
115.4 IPS |
|
|
Text Classification (SP)
|
100% |
700
934.8 IPS |
|
|
Text Classification (HP)
|
99% |
735
981.1 IPS |
|
|
Text Classification (Q)
|
88% |
666
898.8 IPS |
|
|
Machine Translation (SP)
|
100% |
1225
21.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1203
20.7 IPS |
|
|
Machine Translation (Q)
|
50% |
389
13.8 IPS |
