alps tb8775p1_64_titan_whitesnake_25b
Geekbench AI Score
402
Single Precision Score
369
Half Precision Score
822
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | September 02 2025 05:53 AM |
| Views | 5 |
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% |
454
84.4 IPS |
|
|
Image Classification (HP)
|
100% |
461
85.8 IPS |
|
|
Image Classification (Q)
|
100% |
1480
275.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
530
8.59 IPS |
|
|
Image Segmentation (HP)
|
100% |
176
2.86 IPS |
|
|
Image Segmentation (Q)
|
98% |
549
8.92 IPS |
|
|
Pose Estimation (SP)
|
100% |
656
0.76 IPS |
|
|
Pose Estimation (HP)
|
100% |
668
0.78 IPS |
|
|
Pose Estimation (Q)
|
84% |
1214
1.44 IPS |
|
|
Object Detection (SP)
|
100% |
169
13.4 IPS |
|
|
Object Detection (HP)
|
100% |
174
13.8 IPS |
|
|
Object Detection (Q)
|
83% |
480
38.8 IPS |
|
|
Face Detection (SP)
|
100% |
371
4.40 IPS |
|
|
Face Detection (HP)
|
100% |
378
4.50 IPS |
|
|
Face Detection (Q)
|
95% |
945
11.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
395
3.05 IPS |
|
|
Depth Estimation (HP)
|
99% |
468
3.60 IPS |
|
|
Depth Estimation (Q)
|
64% |
1125
10.3 IPS |
|
|
Style Transfer (SP)
|
89% |
1230
1.60 IPS |
|
|
Style Transfer (HP)
|
89% |
1201
1.56 IPS |
|
|
Style Transfer (Q)
|
98% |
2861
3.69 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
289
10.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
289
10.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
697
25.8 IPS |
|
|
Text Classification (SP)
|
100% |
222
295.7 IPS |
|
|
Text Classification (HP)
|
100% |
221
295.0 IPS |
|
|
Text Classification (Q)
|
88% |
481
648.7 IPS |
|
|
Machine Translation (SP)
|
100% |
363
6.25 IPS |
|
|
Machine Translation (HP)
|
100% |
371
6.39 IPS |
|
|
Machine Translation (Q)
|
50% |
293
10.4 IPS |
