Nothing CMF Phone 1
Geekbench AI Score
916
Single Precision Score
919
Half Precision Score
2069
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 08 2025 02:30 AM |
| Views | 1 |
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% |
465
86.5 IPS |
|
|
Image Classification (HP)
|
100% |
466
86.7 IPS |
|
|
Image Classification (Q)
|
100% |
1480
275.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
548
8.88 IPS |
|
|
Image Segmentation (HP)
|
100% |
546
8.85 IPS |
|
|
Image Segmentation (Q)
|
98% |
1726
28.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
1933
2.26 IPS |
|
|
Pose Estimation (HP)
|
100% |
2011
2.35 IPS |
|
|
Pose Estimation (Q)
|
84% |
3853
4.57 IPS |
|
|
Object Detection (SP)
|
100% |
460
36.5 IPS |
|
|
Object Detection (HP)
|
100% |
462
36.6 IPS |
|
|
Object Detection (Q)
|
83% |
1412
114.0 IPS |
|
|
Face Detection (SP)
|
100% |
1075
12.8 IPS |
|
|
Face Detection (HP)
|
100% |
1069
12.7 IPS |
|
|
Face Detection (Q)
|
95% |
3493
41.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
1484
11.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
1514
11.7 IPS |
|
|
Depth Estimation (Q)
|
64% |
3510
32.2 IPS |
|
|
Style Transfer (SP)
|
89% |
3604
4.68 IPS |
|
|
Style Transfer (HP)
|
89% |
3614
4.69 IPS |
|
|
Style Transfer (Q)
|
98% |
8705
11.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
813
30.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
819
30.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2090
77.4 IPS |
|
|
Text Classification (SP)
|
100% |
521
695.2 IPS |
|
|
Text Classification (HP)
|
100% |
515
687.2 IPS |
|
|
Text Classification (Q)
|
88% |
971
1.31 KIPS |
|
|
Machine Translation (SP)
|
100% |
757
13.0 IPS |
|
|
Machine Translation (HP)
|
100% |
744
12.8 IPS |
|
|
Machine Translation (Q)
|
50% |
478
17.0 IPS |
