OnePlus CPH2585
Geekbench AI Score
1935
Single Precision Score
1916
Half Precision Score
3050
Quantized Score
Geekbench AI 1.0.0 for Android AArch64
Result Information
| User | Nanolm |
| Upload Date | August 22 2024 02:03 PM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | OnePlus CPH2585 |
| Model ID | OnePlus CPH2585 |
| Motherboard | kalama |
| Governor | uag |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3406 revision 0 |
| Base Frequency | 2.02 GHz |
| Cluster 1 | 3 Cores @ 2.02 GHz |
| Cluster 2 | 4 Cores @ 2.80 GHz |
| Cluster 3 | 1 Core @ 3.19 GHz |
| Memory Information | |
|---|---|
| Size | 14.83 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1780
331.1 IPS |
|
|
Image Classification (HP)
|
100% |
1790
332.9 IPS |
|
|
Image Classification (Q)
|
100% |
2616
486.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1818
29.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1810
29.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
2620
42.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
3019
3.52 IPS |
|
|
Pose Estimation (HP)
|
100% |
2934
3.42 IPS |
|
|
Pose Estimation (Q)
|
84% |
6764
8.02 IPS |
|
|
Object Detection (SP)
|
98% |
1432
113.9 IPS |
|
|
Object Detection (HP)
|
98% |
1426
113.5 IPS |
|
|
Object Detection (Q)
|
87% |
2116
169.9 IPS |
|
|
Face Detection (SP)
|
100% |
2866
34.1 IPS |
|
|
Face Detection (HP)
|
100% |
2869
34.1 IPS |
|
|
Face Detection (Q)
|
95% |
4845
57.8 IPS |
|
|
Depth Estimation (SP)
|
98% |
2731
21.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
2753
21.3 IPS |
|
|
Depth Estimation (Q)
|
75% |
5227
42.4 IPS |
|
|
Style Transfer (SP)
|
89% |
6550
8.50 IPS |
|
|
Style Transfer (HP)
|
89% |
6659
8.64 IPS |
|
|
Style Transfer (Q)
|
98% |
12798
16.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1300
48.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1279
47.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3213
119.1 IPS |
|
|
Text Classification (SP)
|
100% |
589
786.8 IPS |
|
|
Text Classification (HP)
|
99% |
582
776.3 IPS |
|
|
Text Classification (Q)
|
88% |
966
1.30 KIPS |
|
|
Machine Translation (SP)
|
100% |
1340
23.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1258
21.7 IPS |
|
|
Machine Translation (Q)
|
50% |
707
25.1 IPS |
