OnePlus CPH2493
Geekbench AI Score
2178
Single Precision Score
2158
Half Precision Score
3447
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 20 2025 06:33 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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% |
1680
312.4 IPS |
|
|
Image Classification (HP)
|
100% |
1568
291.6 IPS |
|
|
Image Classification (Q)
|
100% |
2461
457.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1708
27.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1752
28.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
2704
44.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
3269
3.81 IPS |
|
|
Pose Estimation (HP)
|
100% |
3275
3.82 IPS |
|
|
Pose Estimation (Q)
|
84% |
7309
8.67 IPS |
|
|
Object Detection (SP)
|
98% |
1582
125.9 IPS |
|
|
Object Detection (HP)
|
98% |
1616
128.6 IPS |
|
|
Object Detection (Q)
|
83% |
2471
199.6 IPS |
|
|
Face Detection (SP)
|
100% |
2785
33.1 IPS |
|
|
Face Detection (HP)
|
100% |
2701
32.1 IPS |
|
|
Face Detection (Q)
|
95% |
5270
62.9 IPS |
|
|
Depth Estimation (SP)
|
99% |
3443
26.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
3488
27.0 IPS |
|
|
Depth Estimation (Q)
|
64% |
5745
52.6 IPS |
|
|
Style Transfer (SP)
|
89% |
7451
9.67 IPS |
|
|
Style Transfer (HP)
|
89% |
7352
9.54 IPS |
|
|
Style Transfer (Q)
|
98% |
15414
19.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1704
62.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1715
63.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3873
143.5 IPS |
|
|
Text Classification (SP)
|
100% |
780
1.04 KIPS |
|
|
Text Classification (HP)
|
99% |
761
1.02 KIPS |
|
|
Text Classification (Q)
|
88% |
1358
1.83 KIPS |
|
|
Machine Translation (SP)
|
100% |
1709
29.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1673
28.8 IPS |
|
|
Machine Translation (Q)
|
50% |
805
28.6 IPS |
