Nothing CMF Phone 1
Geekbench AI Score
888
Single Precision Score
895
Half Precision Score
2051
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 12 2025 08:39 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | MediaTek Dimensity 7300 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | Nothing CMF Phone 1 |
| Model ID | Nothing A015 |
| Motherboard | Tetris |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3393 revision 0 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 4 Cores @ 2.00 GHz |
| Cluster 2 | 4 Cores @ 2.50 GHz |
| Memory Information | |
|---|---|
| Size | 7.25 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
449
83.5 IPS |
|
|
Image Classification (HP)
|
100% |
458
85.2 IPS |
|
|
Image Classification (Q)
|
100% |
1469
273.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
508
8.24 IPS |
|
|
Image Segmentation (HP)
|
100% |
538
8.72 IPS |
|
|
Image Segmentation (Q)
|
98% |
1715
27.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
1930
2.25 IPS |
|
|
Pose Estimation (HP)
|
100% |
1939
2.26 IPS |
|
|
Pose Estimation (Q)
|
84% |
3819
4.53 IPS |
|
|
Object Detection (SP)
|
100% |
441
35.0 IPS |
|
|
Object Detection (HP)
|
100% |
448
35.5 IPS |
|
|
Object Detection (Q)
|
83% |
1412
114.1 IPS |
|
|
Face Detection (SP)
|
100% |
1019
12.1 IPS |
|
|
Face Detection (HP)
|
100% |
991
11.8 IPS |
|
|
Face Detection (Q)
|
95% |
3451
41.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
1451
11.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
1481
11.4 IPS |
|
|
Depth Estimation (Q)
|
64% |
3465
31.7 IPS |
|
|
Style Transfer (SP)
|
89% |
3484
4.52 IPS |
|
|
Style Transfer (HP)
|
89% |
3484
4.52 IPS |
|
|
Style Transfer (Q)
|
98% |
8650
11.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
796
29.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
815
30.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2063
76.5 IPS |
|
|
Text Classification (SP)
|
100% |
519
693.4 IPS |
|
|
Text Classification (HP)
|
100% |
509
679.5 IPS |
|
|
Text Classification (Q)
|
88% |
963
1.30 KIPS |
|
|
Machine Translation (SP)
|
100% |
743
12.8 IPS |
|
|
Machine Translation (HP)
|
100% |
731
12.6 IPS |
|
|
Machine Translation (Q)
|
50% |
472
16.7 IPS |
