OnePlus CPH2653
Geekbench AI Score
2318
Single Precision Score
2354
Half Precision Score
2971
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | January 04 2025 04:03 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Qualcomm ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | OnePlus CPH2653 |
| Model ID | OnePlus CPH2653 |
| Motherboard | sun |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | Qualcomm ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 81 architecture 8 variant 3 part 1 revision 4 |
| Base Frequency | 3.53 GHz |
| Cluster 1 | 6 Cores @ 3.53 GHz |
| Cluster 2 | 2 Cores @ 4.32 GHz |
| Memory Information | |
|---|---|
| Size | 14.75 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1358
252.6 IPS |
|
|
Image Classification (HP)
|
100% |
1382
257.1 IPS |
|
|
Image Classification (Q)
|
100% |
2388
444.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1953
31.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2071
33.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
3928
63.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
4477
5.22 IPS |
|
|
Pose Estimation (HP)
|
100% |
4445
5.19 IPS |
|
|
Pose Estimation (Q)
|
84% |
10577
12.5 IPS |
|
|
Object Detection (SP)
|
98% |
1315
104.6 IPS |
|
|
Object Detection (HP)
|
98% |
1305
103.8 IPS |
|
|
Object Detection (Q)
|
83% |
2215
178.9 IPS |
|
|
Face Detection (SP)
|
100% |
3640
43.2 IPS |
|
|
Face Detection (HP)
|
100% |
3675
43.7 IPS |
|
|
Face Detection (Q)
|
95% |
6032
72.0 IPS |
|
|
Depth Estimation (SP)
|
99% |
4058
31.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
4066
31.4 IPS |
|
|
Depth Estimation (Q)
|
64% |
5865
53.7 IPS |
|
|
Style Transfer (SP)
|
89% |
10151
13.2 IPS |
|
|
Style Transfer (HP)
|
89% |
10195
13.2 IPS |
|
|
Style Transfer (Q)
|
98% |
19177
24.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1716
63.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1852
68.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2996
111.0 IPS |
|
|
Text Classification (SP)
|
100% |
867
1.16 KIPS |
|
|
Text Classification (HP)
|
99% |
889
1.19 KIPS |
|
|
Text Classification (Q)
|
88% |
478
645.1 IPS |
|
|
Machine Translation (SP)
|
100% |
1288
22.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1256
21.6 IPS |
|
|
Machine Translation (Q)
|
50% |
251
8.92 IPS |
