Unihertz Titan 2
Geekbench AI Score
1012
Single Precision Score
1010
Half Precision Score
2092
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | StripeyMiata |
| Upload Date | November 11 2025 07:57 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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% |
475
88.4 IPS |
|
|
Image Classification (HP)
|
100% |
495
92.1 IPS |
|
|
Image Classification (Q)
|
100% |
1493
277.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
598
9.69 IPS |
|
|
Image Segmentation (HP)
|
100% |
602
9.76 IPS |
|
|
Image Segmentation (Q)
|
98% |
1715
27.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
2107
2.46 IPS |
|
|
Pose Estimation (HP)
|
100% |
2095
2.44 IPS |
|
|
Pose Estimation (Q)
|
84% |
3852
4.57 IPS |
|
|
Object Detection (SP)
|
100% |
480
38.1 IPS |
|
|
Object Detection (HP)
|
100% |
485
38.5 IPS |
|
|
Object Detection (Q)
|
83% |
1420
114.7 IPS |
|
|
Face Detection (SP)
|
100% |
1290
15.3 IPS |
|
|
Face Detection (HP)
|
100% |
1293
15.4 IPS |
|
|
Face Detection (Q)
|
95% |
3525
42.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
1864
14.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
1799
13.9 IPS |
|
|
Depth Estimation (Q)
|
64% |
3515
32.2 IPS |
|
|
Style Transfer (SP)
|
89% |
3775
4.90 IPS |
|
|
Style Transfer (HP)
|
89% |
3771
4.90 IPS |
|
|
Style Transfer (Q)
|
98% |
8756
11.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1010
37.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1012
37.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2115
78.4 IPS |
|
|
Text Classification (SP)
|
100% |
536
715.7 IPS |
|
|
Text Classification (HP)
|
100% |
531
709.2 IPS |
|
|
Text Classification (Q)
|
88% |
976
1.32 KIPS |
|
|
Machine Translation (SP)
|
100% |
802
13.8 IPS |
|
|
Machine Translation (HP)
|
100% |
780
13.4 IPS |
|
|
Machine Translation (Q)
|
50% |
513
18.2 IPS |
