Nothing Phone (2)
Geekbench AI Score
1298
Single Precision Score
1298
Half Precision Score
3010
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | December 10 2024 12:57 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Qualcomm Snapdragon 8+ Gen 1 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| 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 | 11.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
616
114.6 IPS |
|
|
Image Classification (HP)
|
100% |
616
114.5 IPS |
|
|
Image Classification (Q)
|
100% |
2233
415.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
772
12.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
772
12.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
2381
38.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
2687
3.14 IPS |
|
|
Pose Estimation (HP)
|
100% |
2683
3.13 IPS |
|
|
Pose Estimation (Q)
|
84% |
6112
7.25 IPS |
|
|
Object Detection (SP)
|
100% |
569
45.1 IPS |
|
|
Object Detection (HP)
|
100% |
577
45.7 IPS |
|
|
Object Detection (Q)
|
83% |
2194
177.2 IPS |
|
|
Face Detection (SP)
|
100% |
1958
23.3 IPS |
|
|
Face Detection (HP)
|
100% |
1896
22.5 IPS |
|
|
Face Detection (Q)
|
95% |
4803
57.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
2481
19.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
2543
19.6 IPS |
|
|
Depth Estimation (Q)
|
64% |
5281
48.4 IPS |
|
|
Style Transfer (SP)
|
89% |
4454
5.78 IPS |
|
|
Style Transfer (HP)
|
89% |
4460
5.79 IPS |
|
|
Style Transfer (Q)
|
98% |
12960
16.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1448
53.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1475
54.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3346
124.0 IPS |
|
|
Text Classification (SP)
|
100% |
630
841.2 IPS |
|
|
Text Classification (HP)
|
100% |
631
842.9 IPS |
|
|
Text Classification (Q)
|
88% |
1132
1.53 KIPS |
|
|
Machine Translation (SP)
|
100% |
946
16.3 IPS |
|
|
Machine Translation (HP)
|
100% |
925
15.9 IPS |
|
|
Machine Translation (Q)
|
50% |
688
24.4 IPS |
