OnePlus CPH2653
Geekbench AI Score
1172
Single Precision Score
1729
Half Precision Score
1616
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | dekurver |
| Upload Date | January 12 2025 02:40 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
655
121.7 IPS |
|
|
Image Classification (HP)
|
100% |
741
137.9 IPS |
|
|
Image Classification (Q)
|
99% |
630
117.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1163
18.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1276
20.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
1165
19.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
1640
1.91 IPS |
|
|
Pose Estimation (HP)
|
100% |
2775
3.24 IPS |
|
|
Pose Estimation (Q)
|
96% |
2785
3.26 IPS |
|
|
Object Detection (SP)
|
100% |
540
42.8 IPS |
|
|
Object Detection (HP)
|
100% |
1013
80.4 IPS |
|
|
Object Detection (Q)
|
86% |
1005
80.7 IPS |
|
|
Face Detection (SP)
|
100% |
2945
35.0 IPS |
|
|
Face Detection (HP)
|
100% |
3898
46.3 IPS |
|
|
Face Detection (Q)
|
97% |
2580
30.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
1577
12.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
4569
35.3 IPS |
|
|
Depth Estimation (Q)
|
63% |
3795
35.3 IPS |
|
|
Style Transfer (SP)
|
100% |
5798
7.45 IPS |
|
|
Style Transfer (HP)
|
100% |
12412
16.0 IPS |
|
|
Style Transfer (Q)
|
98% |
12318
15.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
653
24.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2122
78.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2083
77.2 IPS |
|
|
Text Classification (SP)
|
100% |
564
752.4 IPS |
|
|
Text Classification (HP)
|
100% |
565
753.6 IPS |
|
|
Text Classification (Q)
|
91% |
888
1.19 KIPS |
|
|
Machine Translation (SP)
|
100% |
734
12.6 IPS |
|
|
Machine Translation (HP)
|
100% |
339
5.84 IPS |
|
|
Machine Translation (Q)
|
57% |
266
6.50 IPS |
