Nothing Phone (2a) Mediatek Dimensity 7200 Pro Nothing Phone (2a)
Geekbench AI Score
723
Single Precision Score
1212
Half Precision Score
931
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| User | paz_levi |
| Upload Date | August 23 2025 02:20 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | MediaTek Dimensity 7200 Pro |
| System Information | |
|---|---|
| Operating System | Android 14 |
| 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% |
447
83.2 IPS |
|
|
Image Classification (HP)
|
100% |
577
107.3 IPS |
|
|
Image Classification (Q)
|
97% |
509
95.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
745
12.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1456
23.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
1293
21.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
2815
3.28 IPS |
|
|
Pose Estimation (HP)
|
100% |
6166
7.19 IPS |
|
|
Pose Estimation (Q)
|
95% |
6021
7.06 IPS |
|
|
Object Detection (SP)
|
100% |
437
34.7 IPS |
|
|
Object Detection (HP)
|
99% |
713
56.5 IPS |
|
|
Object Detection (Q)
|
83% |
644
52.0 IPS |
|
|
Face Detection (SP)
|
100% |
1383
16.4 IPS |
|
|
Face Detection (HP)
|
100% |
2379
28.3 IPS |
|
|
Face Detection (Q)
|
96% |
1994
23.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
2052
15.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
3544
27.4 IPS |
|
|
Depth Estimation (Q)
|
62% |
2732
25.9 IPS |
|
|
Style Transfer (SP)
|
100% |
4214
5.42 IPS |
|
|
Style Transfer (HP)
|
100% |
11941
15.3 IPS |
|
|
Style Transfer (Q)
|
98% |
11075
14.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
950
35.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1691
62.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1623
60.1 IPS |
|
|
Text Classification (SP)
|
35% |
17
156.0 IPS |
|
|
Text Classification (HP)
|
35% |
17
155.8 IPS |
|
|
Text Classification (Q)
|
32% |
13
163.8 IPS |
|
|
Machine Translation (SP)
|
100% |
497
8.56 IPS |
|
|
Machine Translation (HP)
|
100% |
645
11.1 IPS |
|
|
Machine Translation (Q)
|
43% |
152
8.84 IPS |
