alps tb8775p1_64_titan_whitesnake_25b
Geekbench AI Score
658
Single Precision Score
560
Half Precision Score
1188
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | September 02 2025 05:44 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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% |
490
91.1 IPS |
|
|
Image Classification (HP)
|
100% |
493
91.6 IPS |
|
|
Image Classification (Q)
|
100% |
1486
276.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
608
9.85 IPS |
|
|
Image Segmentation (HP)
|
100% |
594
9.64 IPS |
|
|
Image Segmentation (Q)
|
98% |
1742
28.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
2091
2.44 IPS |
|
|
Pose Estimation (HP)
|
100% |
1970
2.30 IPS |
|
|
Pose Estimation (Q)
|
84% |
3751
4.45 IPS |
|
|
Object Detection (SP)
|
100% |
447
35.5 IPS |
|
|
Object Detection (HP)
|
100% |
441
35.0 IPS |
|
|
Object Detection (Q)
|
83% |
527
42.5 IPS |
|
|
Face Detection (SP)
|
100% |
1227
14.6 IPS |
|
|
Face Detection (HP)
|
100% |
1202
14.3 IPS |
|
|
Face Detection (Q)
|
95% |
3499
41.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
1550
11.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
433
3.33 IPS |
|
|
Depth Estimation (Q)
|
64% |
1136
10.4 IPS |
|
|
Style Transfer (SP)
|
89% |
1218
1.58 IPS |
|
|
Style Transfer (HP)
|
89% |
1194
1.55 IPS |
|
|
Style Transfer (Q)
|
98% |
2853
3.68 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
262
9.69 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
263
9.71 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
664
24.6 IPS |
|
|
Text Classification (SP)
|
100% |
244
325.6 IPS |
|
|
Text Classification (HP)
|
100% |
201
268.2 IPS |
|
|
Text Classification (Q)
|
88% |
480
647.2 IPS |
|
|
Machine Translation (SP)
|
100% |
371
6.40 IPS |
|
|
Machine Translation (HP)
|
100% |
368
6.34 IPS |
|
|
Machine Translation (Q)
|
50% |
304
10.8 IPS |
