OnePlus CPH2573
Geekbench AI Score
741
Single Precision Score
1231
Half Precision Score
1197
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | November 24 2024 08:12 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | OnePlus CPH2573 |
| Model ID | OnePlus CPH2573 |
| 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% |
596
110.9 IPS |
|
|
Image Classification (HP)
|
100% |
887
165.0 IPS |
|
|
Image Classification (Q)
|
96% |
823
153.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1137
18.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2207
35.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
2095
34.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
1082
1.26 IPS |
|
|
Pose Estimation (HP)
|
100% |
2526
2.95 IPS |
|
|
Pose Estimation (Q)
|
96% |
2487
2.91 IPS |
|
|
Object Detection (SP)
|
100% |
479
38.0 IPS |
|
|
Object Detection (HP)
|
100% |
750
59.5 IPS |
|
|
Object Detection (Q)
|
87% |
750
60.2 IPS |
|
|
Face Detection (SP)
|
100% |
1894
22.5 IPS |
|
|
Face Detection (HP)
|
100% |
3096
36.8 IPS |
|
|
Face Detection (Q)
|
97% |
2866
34.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
1311
10.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
2548
19.7 IPS |
|
|
Depth Estimation (Q)
|
63% |
2125
19.7 IPS |
|
|
Style Transfer (SP)
|
100% |
4436
5.70 IPS |
|
|
Style Transfer (HP)
|
100% |
7569
9.73 IPS |
|
|
Style Transfer (Q)
|
98% |
7478
9.64 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
413
15.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1010
37.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
995
36.9 IPS |
|
|
Text Classification (SP)
|
100% |
132
175.8 IPS |
|
|
Text Classification (HP)
|
100% |
132
176.7 IPS |
|
|
Text Classification (Q)
|
91% |
215
289.1 IPS |
|
|
Machine Translation (SP)
|
100% |
237
4.09 IPS |
|
|
Machine Translation (HP)
|
100% |
272
4.69 IPS |
|
|
Machine Translation (Q)
|
57% |
194
4.75 IPS |
