HEADWOLF Titan 1
Geekbench AI Score
1640
Single Precision Score
1649
Half Precision Score
2837
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 08 2025 12:21 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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% |
1263
234.8 IPS |
|
|
Image Classification (HP)
|
100% |
1262
234.7 IPS |
|
|
Image Classification (Q)
|
100% |
2283
424.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1360
22.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1364
22.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
2324
37.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
2332
2.72 IPS |
|
|
Pose Estimation (HP)
|
100% |
2240
2.61 IPS |
|
|
Pose Estimation (Q)
|
84% |
5430
6.44 IPS |
|
|
Object Detection (SP)
|
98% |
1164
92.6 IPS |
|
|
Object Detection (HP)
|
98% |
1171
93.2 IPS |
|
|
Object Detection (Q)
|
83% |
1905
153.9 IPS |
|
|
Face Detection (SP)
|
100% |
2301
27.3 IPS |
|
|
Face Detection (HP)
|
100% |
2338
27.8 IPS |
|
|
Face Detection (Q)
|
95% |
4677
55.8 IPS |
|
|
Depth Estimation (SP)
|
99% |
2125
16.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
2204
17.0 IPS |
|
|
Depth Estimation (Q)
|
64% |
4587
42.0 IPS |
|
|
Style Transfer (SP)
|
89% |
5738
7.45 IPS |
|
|
Style Transfer (HP)
|
89% |
6070
7.88 IPS |
|
|
Style Transfer (Q)
|
98% |
12360
15.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1195
44.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1198
44.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3119
115.6 IPS |
|
|
Text Classification (SP)
|
100% |
675
901.4 IPS |
|
|
Text Classification (HP)
|
99% |
692
923.9 IPS |
|
|
Text Classification (Q)
|
88% |
1227
1.66 KIPS |
|
|
Machine Translation (SP)
|
100% |
1334
23.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1270
21.9 IPS |
|
|
Machine Translation (Q)
|
50% |
607
21.5 IPS |
