HEADWOLF Titan 1
Geekbench AI Score
1136
Single Precision Score
4569
Half Precision Score
4690
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | PC-FREEDOM |
| Upload Date | November 01 2025 07:26 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | HEADWOLF Titan 1 |
| Model ID | HEADWOLF Titan 1 |
| Motherboard | tb8792p1_64 |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3405 revision 0 |
| Base Frequency | 2.20 GHz |
| Cluster 1 | 4 Cores @ 2.20 GHz |
| Cluster 2 | 3 Cores @ 3.20 GHz |
| Cluster 3 | 1 Core @ 3.35 GHz |
| Memory Information | |
|---|---|
| Size | 11.26 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1039
193.1 IPS |
|
|
Image Classification (HP)
|
100% |
4220
784.8 IPS |
|
|
Image Classification (Q)
|
99% |
8018
1.50 KIPS |
|
|
Image Segmentation (SP)
|
100% |
671
10.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
4149
67.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
1794
29.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
8709
10.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
17470
20.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
72757
85.3 IPS |
|
|
Object Detection (SP)
|
100% |
702
55.7 IPS |
|
|
Object Detection (HP)
|
100% |
4292
340.4 IPS |
|
|
Object Detection (Q)
|
86% |
5066
407.5 IPS |
|
|
Face Detection (SP)
|
100% |
3265
38.8 IPS |
|
|
Face Detection (HP)
|
100% |
9726
115.6 IPS |
|
|
Face Detection (Q)
|
97% |
11259
134.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
905
6.97 IPS |
|
|
Depth Estimation (HP)
|
99% |
18964
146.1 IPS |
|
|
Depth Estimation (Q)
|
62% |
31486
299.0 IPS |
|
|
Style Transfer (SP)
|
100% |
3492
4.49 IPS |
|
|
Style Transfer (HP)
|
100% |
715
0.92 IPS |
|
|
Style Transfer (Q)
|
30% |
540
8.13 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2398
88.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10235
377.9 IPS |
|
|
Image Super-Resolution (Q)
|
41% |
7156
1.04 KIPS |
|
|
Text Classification (SP)
|
100% |
101
135.3 IPS |
|
|
Text Classification (HP)
|
100% |
1706
2.28 KIPS |
|
|
Text Classification (Q)
|
93% |
1717
2.31 KIPS |
|
|
Machine Translation (SP)
|
100% |
337
5.80 IPS |
|
|
Machine Translation (HP)
|
100% |
1313
22.6 IPS |
|
|
Machine Translation (Q)
|
60% |
413
9.29 IPS |
