Unihertz Titan 2
Geekbench AI Score
593
Single Precision Score
1432
Half Precision Score
2946
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 26 2025 04:50 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | Unihertz Titan 2 |
| Model ID | Unihertz Titan 2 |
| Motherboard | G71BoardV1 |
| 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 | 11.20 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
482
89.7 IPS |
|
|
Image Classification (HP)
|
100% |
1751
325.7 IPS |
|
|
Image Classification (Q)
|
99% |
5027
937.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
611
9.90 IPS |
|
|
Image Segmentation (HP)
|
100% |
1878
30.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
2160
35.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
3032
3.54 IPS |
|
|
Pose Estimation (HP)
|
100% |
6902
8.05 IPS |
|
|
Pose Estimation (Q)
|
95% |
27832
32.6 IPS |
|
|
Object Detection (SP)
|
100% |
336
26.7 IPS |
|
|
Object Detection (HP)
|
100% |
1613
127.9 IPS |
|
|
Object Detection (Q)
|
86% |
2569
206.7 IPS |
|
|
Face Detection (SP)
|
100% |
1488
17.7 IPS |
|
|
Face Detection (HP)
|
100% |
4632
55.0 IPS |
|
|
Face Detection (Q)
|
97% |
10753
128.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
424
3.27 IPS |
|
|
Depth Estimation (HP)
|
99% |
7721
59.5 IPS |
|
|
Depth Estimation (Q)
|
62% |
16646
158.1 IPS |
|
|
Style Transfer (SP)
|
100% |
1749
2.25 IPS |
|
|
Style Transfer (HP)
|
100% |
303
0.39 IPS |
|
|
Style Transfer (Q)
|
30% |
390
5.87 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1117
41.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4394
162.2 IPS |
|
|
Image Super-Resolution (Q)
|
41% |
3398
494.8 IPS |
|
|
Text Classification (SP)
|
100% |
76
102.1 IPS |
|
|
Text Classification (HP)
|
100% |
112
150.0 IPS |
|
|
Text Classification (Q)
|
93% |
1401
1.88 KIPS |
|
|
Machine Translation (SP)
|
100% |
192
3.31 IPS |
|
|
Machine Translation (HP)
|
100% |
186
3.21 IPS |
|
|
Machine Translation (Q)
|
53% |
191
5.48 IPS |
