Nothing Phone (2)
Geekbench AI Score
1212
Single Precision Score
1200
Half Precision Score
2736
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | January 02 2025 09:35 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Qualcomm Snapdragon 8+ Gen 1 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | Nothing Phone (2) |
| Model ID | Nothing AIN065 |
| 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 | 11.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
617
114.7 IPS |
|
|
Image Classification (HP)
|
100% |
609
113.2 IPS |
|
|
Image Classification (Q)
|
100% |
2155
400.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
745
12.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
741
12.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
2433
39.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
2511
2.93 IPS |
|
|
Pose Estimation (HP)
|
100% |
2456
2.87 IPS |
|
|
Pose Estimation (Q)
|
84% |
5673
6.73 IPS |
|
|
Object Detection (SP)
|
100% |
538
42.6 IPS |
|
|
Object Detection (HP)
|
100% |
520
41.3 IPS |
|
|
Object Detection (Q)
|
83% |
1752
141.5 IPS |
|
|
Face Detection (SP)
|
100% |
1738
20.7 IPS |
|
|
Face Detection (HP)
|
100% |
1740
20.7 IPS |
|
|
Face Detection (Q)
|
95% |
4125
49.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
2344
18.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
2344
18.1 IPS |
|
|
Depth Estimation (Q)
|
64% |
4465
40.9 IPS |
|
|
Style Transfer (SP)
|
89% |
4156
5.39 IPS |
|
|
Style Transfer (HP)
|
89% |
4154
5.39 IPS |
|
|
Style Transfer (Q)
|
98% |
11995
15.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1314
48.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1317
48.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3022
112.0 IPS |
|
|
Text Classification (SP)
|
100% |
564
752.3 IPS |
|
|
Text Classification (HP)
|
100% |
563
752.0 IPS |
|
|
Text Classification (Q)
|
88% |
1042
1.41 KIPS |
|
|
Machine Translation (SP)
|
100% |
881
15.2 IPS |
|
|
Machine Translation (HP)
|
100% |
858
14.8 IPS |
|
|
Machine Translation (Q)
|
50% |
650
23.1 IPS |
