Nothing CMF Phone 1
Geekbench AI Score
909
Single Precision Score
912
Half Precision Score
2064
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | January 03 2025 06:21 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | MediaTek Dimensity 7300 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| 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 | 7.28 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
461
85.7 IPS |
|
|
Image Classification (HP)
|
100% |
467
86.9 IPS |
|
|
Image Classification (Q)
|
100% |
1489
276.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
528
8.55 IPS |
|
|
Image Segmentation (HP)
|
100% |
532
8.63 IPS |
|
|
Image Segmentation (Q)
|
98% |
1713
27.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
2011
2.35 IPS |
|
|
Pose Estimation (HP)
|
100% |
1988
2.32 IPS |
|
|
Pose Estimation (Q)
|
84% |
3886
4.61 IPS |
|
|
Object Detection (SP)
|
100% |
458
36.3 IPS |
|
|
Object Detection (HP)
|
100% |
453
36.0 IPS |
|
|
Object Detection (Q)
|
83% |
1430
115.5 IPS |
|
|
Face Detection (SP)
|
100% |
1045
12.4 IPS |
|
|
Face Detection (HP)
|
100% |
1054
12.5 IPS |
|
|
Face Detection (Q)
|
95% |
3468
41.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
1399
10.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
1468
11.3 IPS |
|
|
Depth Estimation (Q)
|
64% |
3518
32.2 IPS |
|
|
Style Transfer (SP)
|
89% |
3569
4.63 IPS |
|
|
Style Transfer (HP)
|
89% |
3590
4.66 IPS |
|
|
Style Transfer (Q)
|
98% |
8701
11.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
821
30.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
819
30.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2092
77.5 IPS |
|
|
Text Classification (SP)
|
100% |
531
708.5 IPS |
|
|
Text Classification (HP)
|
100% |
521
695.1 IPS |
|
|
Text Classification (Q)
|
88% |
978
1.32 KIPS |
|
|
Machine Translation (SP)
|
100% |
762
13.1 IPS |
|
|
Machine Translation (HP)
|
100% |
757
13.0 IPS |
|
|
Machine Translation (Q)
|
50% |
456
16.2 IPS |
