Nothing Phone (1)
Geekbench AI Score
912
Single Precision Score
908
Half Precision Score
1959
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 18 2025 07:40 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Qualcomm Snapdragon 778G+ |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | Nothing Phone (1) |
| Model ID | Nothing A063 |
| Motherboard | Spacewar |
| Governor | schedutil |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3393 revision 1 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 4 Cores @ 1.80 GHz |
| Cluster 2 | 3 Cores @ 2.40 GHz |
| Cluster 3 | 1 Core @ 2.52 GHz |
| Memory Information | |
|---|---|
| Size | 7.09 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
465
86.5 IPS |
|
|
Image Classification (HP)
|
100% |
481
89.4 IPS |
|
|
Image Classification (Q)
|
100% |
1437
267.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
513
8.32 IPS |
|
|
Image Segmentation (HP)
|
100% |
513
8.32 IPS |
|
|
Image Segmentation (Q)
|
98% |
1696
27.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
2040
2.38 IPS |
|
|
Pose Estimation (HP)
|
100% |
2046
2.39 IPS |
|
|
Pose Estimation (Q)
|
84% |
3771
4.47 IPS |
|
|
Object Detection (SP)
|
100% |
463
36.7 IPS |
|
|
Object Detection (HP)
|
100% |
465
36.9 IPS |
|
|
Object Detection (Q)
|
83% |
1404
113.4 IPS |
|
|
Face Detection (SP)
|
100% |
1124
13.4 IPS |
|
|
Face Detection (HP)
|
100% |
1106
13.1 IPS |
|
|
Face Detection (Q)
|
95% |
3183
38.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
1558
12.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
1564
12.1 IPS |
|
|
Depth Estimation (Q)
|
64% |
3198
29.3 IPS |
|
|
Style Transfer (SP)
|
89% |
3509
4.55 IPS |
|
|
Style Transfer (HP)
|
89% |
3505
4.55 IPS |
|
|
Style Transfer (Q)
|
98% |
7955
10.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
860
31.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
862
31.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1951
72.3 IPS |
|
|
Text Classification (SP)
|
100% |
464
619.2 IPS |
|
|
Text Classification (HP)
|
100% |
440
587.7 IPS |
|
|
Text Classification (Q)
|
88% |
878
1.18 KIPS |
|
|
Machine Translation (SP)
|
100% |
723
12.4 IPS |
|
|
Machine Translation (HP)
|
100% |
711
12.2 IPS |
|
|
Machine Translation (Q)
|
50% |
467
16.6 IPS |
