OnePlus CPH2653
Geekbench AI Score
1957
Single Precision Score
2328
Half Precision Score
3088
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | dekurver |
| Upload Date | January 12 2025 02:35 PM |
| Views | 12 |
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% |
224
41.6 IPS |
|
|
Image Classification (HP)
|
100% |
1322
245.9 IPS |
|
|
Image Classification (Q)
|
100% |
2992
556.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2086
33.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2147
34.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
4043
65.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
4470
5.22 IPS |
|
|
Pose Estimation (HP)
|
100% |
4488
5.24 IPS |
|
|
Pose Estimation (Q)
|
84% |
10639
12.6 IPS |
|
|
Object Detection (SP)
|
98% |
1412
112.4 IPS |
|
|
Object Detection (HP)
|
98% |
1422
113.1 IPS |
|
|
Object Detection (Q)
|
83% |
2075
167.6 IPS |
|
|
Face Detection (SP)
|
100% |
3682
43.7 IPS |
|
|
Face Detection (HP)
|
100% |
3645
43.3 IPS |
|
|
Face Detection (Q)
|
95% |
5891
70.3 IPS |
|
|
Depth Estimation (SP)
|
99% |
3982
30.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
3445
26.6 IPS |
|
|
Depth Estimation (Q)
|
64% |
5730
52.5 IPS |
|
|
Style Transfer (SP)
|
89% |
9796
12.7 IPS |
|
|
Style Transfer (HP)
|
89% |
10009
13.0 IPS |
|
|
Style Transfer (Q)
|
98% |
19539
25.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1774
65.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1856
68.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3319
123.0 IPS |
|
|
Text Classification (SP)
|
100% |
864
1.15 KIPS |
|
|
Text Classification (HP)
|
99% |
878
1.17 KIPS |
|
|
Text Classification (Q)
|
88% |
516
695.8 IPS |
|
|
Machine Translation (SP)
|
100% |
1270
21.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1264
21.8 IPS |
|
|
Machine Translation (Q)
|
50% |
262
9.29 IPS |
