OnePlus CPH2493
Geekbench AI Score
610
Single Precision Score
768
Half Precision Score
787
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 23 2025 09:39 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | OnePlus CPH2493 |
| Model ID | OnePlus CPH2493 |
| Motherboard | k6983v1_64 |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 2 part 3400 revision 0 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 4 Cores @ 1.80 GHz |
| Cluster 2 | 3 Cores @ 2.85 GHz |
| Cluster 3 | 1 Core @ 3.05 GHz |
| Memory Information | |
|---|---|
| Size | 15.05 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
425
79.0 IPS |
|
|
Image Classification (HP)
|
100% |
575
107.0 IPS |
|
|
Image Classification (Q)
|
99% |
525
97.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
754
12.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
867
14.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
920
15.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
620
0.72 IPS |
|
|
Pose Estimation (HP)
|
100% |
906
1.06 IPS |
|
|
Pose Estimation (Q)
|
96% |
896
1.05 IPS |
|
|
Object Detection (SP)
|
100% |
368
29.2 IPS |
|
|
Object Detection (HP)
|
100% |
525
41.6 IPS |
|
|
Object Detection (Q)
|
83% |
487
39.4 IPS |
|
|
Face Detection (SP)
|
100% |
1573
18.7 IPS |
|
|
Face Detection (HP)
|
100% |
2031
24.1 IPS |
|
|
Face Detection (Q)
|
97% |
2006
23.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
941
7.25 IPS |
|
|
Depth Estimation (HP)
|
99% |
1111
8.56 IPS |
|
|
Depth Estimation (Q)
|
62% |
889
8.42 IPS |
|
|
Style Transfer (SP)
|
100% |
2487
3.20 IPS |
|
|
Style Transfer (HP)
|
100% |
3512
4.51 IPS |
|
|
Style Transfer (Q)
|
98% |
3504
4.52 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
476
17.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
663
24.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
641
23.8 IPS |
|
|
Text Classification (SP)
|
100% |
201
268.9 IPS |
|
|
Text Classification (HP)
|
100% |
198
264.6 IPS |
|
|
Text Classification (Q)
|
91% |
402
540.0 IPS |
|
|
Machine Translation (SP)
|
100% |
280
4.81 IPS |
|
|
Machine Translation (HP)
|
100% |
290
4.99 IPS |
|
|
Machine Translation (Q)
|
57% |
272
6.64 IPS |
