Nothing Phone (2a)
Geekbench AI Score
885
Single Precision Score
884
Half Precision Score
1738
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | December 18 2024 11:16 AM |
| Views | 24 |
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 | 7.24 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
685
127.4 IPS |
|
|
Image Classification (HP)
|
100% |
689
128.1 IPS |
|
|
Image Classification (Q)
|
100% |
1284
238.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
655
10.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
658
10.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
1343
21.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
1314
1.53 IPS |
|
|
Pose Estimation (HP)
|
100% |
1304
1.52 IPS |
|
|
Pose Estimation (Q)
|
84% |
3388
4.02 IPS |
|
|
Object Detection (SP)
|
98% |
647
51.5 IPS |
|
|
Object Detection (HP)
|
98% |
646
51.4 IPS |
|
|
Object Detection (Q)
|
83% |
1102
89.0 IPS |
|
|
Face Detection (SP)
|
100% |
1094
13.0 IPS |
|
|
Face Detection (HP)
|
100% |
1081
12.8 IPS |
|
|
Face Detection (Q)
|
95% |
2576
30.7 IPS |
|
|
Depth Estimation (SP)
|
99% |
1178
9.10 IPS |
|
|
Depth Estimation (HP)
|
99% |
1269
9.81 IPS |
|
|
Depth Estimation (Q)
|
64% |
2653
24.3 IPS |
|
|
Style Transfer (SP)
|
89% |
3280
4.26 IPS |
|
|
Style Transfer (HP)
|
89% |
3246
4.21 IPS |
|
|
Style Transfer (Q)
|
98% |
7274
9.38 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
600
22.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
594
21.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1735
64.3 IPS |
|
|
Text Classification (SP)
|
100% |
361
481.3 IPS |
|
|
Text Classification (HP)
|
99% |
359
479.2 IPS |
|
|
Text Classification (Q)
|
88% |
957
1.29 KIPS |
|
|
Machine Translation (SP)
|
100% |
849
14.6 IPS |
|
|
Machine Translation (HP)
|
100% |
812
14.0 IPS |
|
|
Machine Translation (Q)
|
50% |
475
16.9 IPS |
