Nothing Phone (2)
Geekbench AI Score
1351
Single Precision Score
1335
Half Precision Score
3074
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | December 03 2025 09:42 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Qualcomm Snapdragon 8+ Gen 1 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| Model | Nothing Phone (2) |
| Model ID | Nothing A065 |
| Motherboard | taro |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 2 part 3400 revision 0 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 4 Cores @ 1.80 GHz |
| Cluster 2 | 3 Cores @ 2.50 GHz |
| Cluster 3 | 1 Core @ 3.00 GHz |
| Memory Information | |
|---|---|
| Size | 7.10 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
602
112.0 IPS |
|
|
Image Classification (HP)
|
100% |
621
115.5 IPS |
|
|
Image Classification (Q)
|
100% |
2260
420.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
785
12.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
784
12.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
2445
39.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
2923
3.41 IPS |
|
|
Pose Estimation (HP)
|
100% |
2872
3.35 IPS |
|
|
Pose Estimation (Q)
|
84% |
6352
7.53 IPS |
|
|
Object Detection (SP)
|
100% |
603
47.9 IPS |
|
|
Object Detection (HP)
|
100% |
605
48.0 IPS |
|
|
Object Detection (Q)
|
83% |
2223
179.6 IPS |
|
|
Face Detection (SP)
|
100% |
2032
24.1 IPS |
|
|
Face Detection (HP)
|
100% |
2035
24.2 IPS |
|
|
Face Detection (Q)
|
95% |
4846
57.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
2723
21.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
2420
18.6 IPS |
|
|
Depth Estimation (Q)
|
64% |
5317
48.7 IPS |
|
|
Style Transfer (SP)
|
89% |
4615
5.99 IPS |
|
|
Style Transfer (HP)
|
89% |
4670
6.06 IPS |
|
|
Style Transfer (Q)
|
98% |
13478
17.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1513
55.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1508
55.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3421
126.8 IPS |
|
|
Text Classification (SP)
|
100% |
639
853.5 IPS |
|
|
Text Classification (HP)
|
100% |
637
849.9 IPS |
|
|
Text Classification (Q)
|
88% |
1145
1.54 KIPS |
|
|
Machine Translation (SP)
|
100% |
988
17.0 IPS |
|
|
Machine Translation (HP)
|
100% |
968
16.7 IPS |
|
|
Machine Translation (Q)
|
50% |
711
25.2 IPS |
