Nothing Phone (2a)
Geekbench AI Score
754
Single Precision Score
767
Half Precision Score
1409
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 12 2025 03:45 PM |
| Views | 2 |
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 | 7.24 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
596
110.8 IPS |
|
|
Image Classification (HP)
|
100% |
603
112.1 IPS |
|
|
Image Classification (Q)
|
100% |
1027
190.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
595
9.64 IPS |
|
|
Image Segmentation (HP)
|
100% |
597
9.68 IPS |
|
|
Image Segmentation (Q)
|
98% |
1021
16.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
1081
1.26 IPS |
|
|
Pose Estimation (HP)
|
100% |
1113
1.30 IPS |
|
|
Pose Estimation (Q)
|
84% |
2790
3.31 IPS |
|
|
Object Detection (SP)
|
98% |
512
40.7 IPS |
|
|
Object Detection (HP)
|
98% |
524
41.7 IPS |
|
|
Object Detection (Q)
|
83% |
929
75.1 IPS |
|
|
Face Detection (SP)
|
100% |
1014
12.1 IPS |
|
|
Face Detection (HP)
|
100% |
1017
12.1 IPS |
|
|
Face Detection (Q)
|
95% |
2111
25.2 IPS |
|
|
Depth Estimation (SP)
|
99% |
1056
8.16 IPS |
|
|
Depth Estimation (HP)
|
99% |
1142
8.83 IPS |
|
|
Depth Estimation (Q)
|
64% |
2131
19.5 IPS |
|
|
Style Transfer (SP)
|
89% |
2662
3.46 IPS |
|
|
Style Transfer (HP)
|
89% |
2769
3.59 IPS |
|
|
Style Transfer (Q)
|
98% |
5911
7.62 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
512
18.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
508
18.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1366
50.6 IPS |
|
|
Text Classification (SP)
|
100% |
281
375.6 IPS |
|
|
Text Classification (HP)
|
99% |
287
383.2 IPS |
|
|
Text Classification (Q)
|
88% |
761
1.03 KIPS |
|
|
Machine Translation (SP)
|
100% |
743
12.8 IPS |
|
|
Machine Translation (HP)
|
100% |
719
12.4 IPS |
|
|
Machine Translation (Q)
|
50% |
411
14.6 IPS |
