Unihertz Titan 2
Geekbench AI Score
586
Single Precision Score
1429
Half Precision Score
2937
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | StripeyMiata |
| Upload Date | November 11 2025 08:11 PM |
| Views | 2 |
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% |
477
88.6 IPS |
|
|
Image Classification (HP)
|
100% |
1768
328.8 IPS |
|
|
Image Classification (Q)
|
99% |
5032
938.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
609
9.87 IPS |
|
|
Image Segmentation (HP)
|
100% |
1892
30.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
2132
34.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
2971
3.47 IPS |
|
|
Pose Estimation (HP)
|
100% |
6894
8.04 IPS |
|
|
Pose Estimation (Q)
|
95% |
27826
32.6 IPS |
|
|
Object Detection (SP)
|
100% |
332
26.3 IPS |
|
|
Object Detection (HP)
|
100% |
1598
126.7 IPS |
|
|
Object Detection (Q)
|
86% |
2527
203.2 IPS |
|
|
Face Detection (SP)
|
100% |
1457
17.3 IPS |
|
|
Face Detection (HP)
|
100% |
4570
54.3 IPS |
|
|
Face Detection (Q)
|
97% |
10765
128.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
424
3.26 IPS |
|
|
Depth Estimation (HP)
|
99% |
7631
58.8 IPS |
|
|
Depth Estimation (Q)
|
62% |
16615
157.8 IPS |
|
|
Style Transfer (SP)
|
100% |
1727
2.22 IPS |
|
|
Style Transfer (HP)
|
100% |
297
0.38 IPS |
|
|
Style Transfer (Q)
|
30% |
394
5.94 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1093
40.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4375
161.6 IPS |
|
|
Image Super-Resolution (Q)
|
41% |
3397
494.7 IPS |
|
|
Text Classification (SP)
|
100% |
76
101.3 IPS |
|
|
Text Classification (HP)
|
100% |
114
152.4 IPS |
|
|
Text Classification (Q)
|
93% |
1401
1.88 KIPS |
|
|
Machine Translation (SP)
|
100% |
191
3.30 IPS |
|
|
Machine Translation (HP)
|
100% |
187
3.22 IPS |
|
|
Machine Translation (Q)
|
53% |
189
5.43 IPS |
