Nothing Phone (2a) Mediatek Dimensity 7200 Pro Nothing Phone (2a)
Geekbench AI Score
801
Single Precision Score
785
Half Precision Score
1471
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| User | paz_levi |
| Upload Date | August 23 2025 02:15 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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% |
702
130.5 IPS |
|
|
Image Classification (HP)
|
100% |
702
130.5 IPS |
|
|
Image Classification (Q)
|
100% |
1294
240.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
674
10.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
661
10.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
1407
22.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
1316
1.54 IPS |
|
|
Pose Estimation (HP)
|
100% |
1109
1.29 IPS |
|
|
Pose Estimation (Q)
|
84% |
2712
3.22 IPS |
|
|
Object Detection (SP)
|
98% |
549
43.7 IPS |
|
|
Object Detection (HP)
|
98% |
541
43.0 IPS |
|
|
Object Detection (Q)
|
83% |
891
72.0 IPS |
|
|
Face Detection (SP)
|
100% |
1036
12.3 IPS |
|
|
Face Detection (HP)
|
100% |
1036
12.3 IPS |
|
|
Face Detection (Q)
|
95% |
2125
25.4 IPS |
|
|
Depth Estimation (SP)
|
99% |
1005
7.76 IPS |
|
|
Depth Estimation (HP)
|
99% |
1034
7.99 IPS |
|
|
Depth Estimation (Q)
|
64% |
2101
19.2 IPS |
|
|
Style Transfer (SP)
|
89% |
2642
3.43 IPS |
|
|
Style Transfer (HP)
|
89% |
2631
3.42 IPS |
|
|
Style Transfer (Q)
|
98% |
5840
7.53 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
537
19.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
532
19.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1399
51.8 IPS |
|
|
Text Classification (SP)
|
100% |
292
389.4 IPS |
|
|
Text Classification (HP)
|
99% |
288
383.8 IPS |
|
|
Text Classification (Q)
|
88% |
762
1.03 KIPS |
|
|
Machine Translation (SP)
|
100% |
746
12.9 IPS |
|
|
Machine Translation (HP)
|
100% |
745
12.8 IPS |
|
|
Machine Translation (Q)
|
50% |
389
13.8 IPS |
