alps tb8775p1_64_titan_whitesnake_25b
Geekbench AI Score
583
Single Precision Score
1419
Half Precision Score
2872
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | September 02 2025 05:01 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | alps tb8775p1_64_titan_whitesnake_25b |
| Model ID | alps tb8775p1_64_titan_whitesnake_25b |
| Motherboard | tb8775p1_64_titan_whitesnake_25b |
| 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 | 5.16 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
470
87.4 IPS |
|
|
Image Classification (HP)
|
100% |
1743
324.1 IPS |
|
|
Image Classification (Q)
|
99% |
4816
898.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
612
9.92 IPS |
|
|
Image Segmentation (HP)
|
100% |
1902
30.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
2205
35.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
2984
3.48 IPS |
|
|
Pose Estimation (HP)
|
100% |
6904
8.06 IPS |
|
|
Pose Estimation (Q)
|
95% |
27765
32.5 IPS |
|
|
Object Detection (SP)
|
100% |
330
26.2 IPS |
|
|
Object Detection (HP)
|
100% |
1585
125.7 IPS |
|
|
Object Detection (Q)
|
86% |
2508
201.7 IPS |
|
|
Face Detection (SP)
|
100% |
1476
17.5 IPS |
|
|
Face Detection (HP)
|
100% |
4590
54.5 IPS |
|
|
Face Detection (Q)
|
97% |
10451
124.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
422
3.25 IPS |
|
|
Depth Estimation (HP)
|
99% |
7649
58.9 IPS |
|
|
Depth Estimation (Q)
|
62% |
16349
155.2 IPS |
|
|
Style Transfer (SP)
|
100% |
1739
2.24 IPS |
|
|
Style Transfer (HP)
|
100% |
291
0.37 IPS |
|
|
Style Transfer (Q)
|
30% |
388
5.85 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1096
40.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4319
159.5 IPS |
|
|
Image Super-Resolution (Q)
|
41% |
3278
477.4 IPS |
|
|
Text Classification (SP)
|
100% |
72
96.7 IPS |
|
|
Text Classification (HP)
|
100% |
112
149.7 IPS |
|
|
Text Classification (Q)
|
93% |
1302
1.75 KIPS |
|
|
Machine Translation (SP)
|
100% |
188
3.25 IPS |
|
|
Machine Translation (HP)
|
100% |
185
3.18 IPS |
|
|
Machine Translation (Q)
|
53% |
183
5.26 IPS |
