Nothing Phone (2a)
Geekbench AI Score
864
Single Precision Score
881
Half Precision Score
1744
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | December 28 2024 12:32 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | MediaTek Dimensity 7200 Pro |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | Nothing Phone (2a) |
| Model ID | Nothing A142 |
| Motherboard | Pacman |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3405 revision 0 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 6 Cores @ 2.00 GHz |
| Cluster 2 | 2 Cores @ 2.80 GHz |
| Memory Information | |
|---|---|
| Size | 11.16 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
697
129.7 IPS |
|
|
Image Classification (HP)
|
100% |
702
130.6 IPS |
|
|
Image Classification (Q)
|
100% |
1293
240.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
660
10.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
667
10.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
1281
20.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
1301
1.52 IPS |
|
|
Pose Estimation (HP)
|
100% |
1296
1.51 IPS |
|
|
Pose Estimation (Q)
|
84% |
3371
4.00 IPS |
|
|
Object Detection (SP)
|
98% |
637
50.7 IPS |
|
|
Object Detection (HP)
|
98% |
638
50.8 IPS |
|
|
Object Detection (Q)
|
83% |
1132
91.4 IPS |
|
|
Face Detection (SP)
|
100% |
1062
12.6 IPS |
|
|
Face Detection (HP)
|
100% |
1065
12.7 IPS |
|
|
Face Detection (Q)
|
95% |
2622
31.3 IPS |
|
|
Depth Estimation (SP)
|
99% |
963
7.44 IPS |
|
|
Depth Estimation (HP)
|
99% |
1197
9.25 IPS |
|
|
Depth Estimation (Q)
|
64% |
2701
24.7 IPS |
|
|
Style Transfer (SP)
|
89% |
3210
4.17 IPS |
|
|
Style Transfer (HP)
|
89% |
3208
4.16 IPS |
|
|
Style Transfer (Q)
|
98% |
7218
9.31 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
584
21.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
589
21.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1702
63.1 IPS |
|
|
Text Classification (SP)
|
100% |
375
500.3 IPS |
|
|
Text Classification (HP)
|
99% |
365
486.7 IPS |
|
|
Text Classification (Q)
|
88% |
969
1.31 KIPS |
|
|
Machine Translation (SP)
|
100% |
849
14.6 IPS |
|
|
Machine Translation (HP)
|
100% |
832
14.3 IPS |
|
|
Machine Translation (Q)
|
50% |
491
17.4 IPS |
