SUXI T900
Geekbench AI Score
146
Single Precision Score
153
Half Precision Score
170
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | December 09 2024 01:25 PM |
| Views | 16 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | SUXI T900 |
| Model ID | SUXI T900 |
| Motherboard | ums9230_6h10 |
| Governor | uscfreq |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 3 part 3338 revision 1 |
| Base Frequency | 1.82 GHz |
| Cluster 1 | 6 Cores @ 1.82 GHz |
| Cluster 2 | 2 Cores @ 1.95 GHz |
| Memory Information | |
|---|---|
| Size | 5.62 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
82
15.3 IPS |
|
|
Image Classification (HP)
|
100% |
127
23.6 IPS |
|
|
Image Classification (Q)
|
99% |
111
20.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
114
1.85 IPS |
|
|
Image Segmentation (HP)
|
100% |
174
2.82 IPS |
|
|
Image Segmentation (Q)
|
98% |
162
2.63 IPS |
|
|
Pose Estimation (SP)
|
100% |
520
0.61 IPS |
|
|
Pose Estimation (HP)
|
100% |
274
0.32 IPS |
|
|
Pose Estimation (Q)
|
96% |
478
0.56 IPS |
|
|
Object Detection (SP)
|
100% |
45
3.60 IPS |
|
|
Object Detection (HP)
|
100% |
46
3.61 IPS |
|
|
Object Detection (Q)
|
87% |
92
7.41 IPS |
|
|
Face Detection (SP)
|
100% |
293
3.49 IPS |
|
|
Face Detection (HP)
|
100% |
354
4.20 IPS |
|
|
Face Detection (Q)
|
97% |
227
2.70 IPS |
|
|
Depth Estimation (SP)
|
100% |
389
3.00 IPS |
|
|
Depth Estimation (HP)
|
98% |
316
2.44 IPS |
|
|
Depth Estimation (Q)
|
66% |
377
3.32 IPS |
|
|
Style Transfer (SP)
|
100% |
350
0.45 IPS |
|
|
Style Transfer (HP)
|
100% |
197
0.25 IPS |
|
|
Style Transfer (Q)
|
98% |
658
0.85 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
227
8.37 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
161
5.94 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
231
8.57 IPS |
|
|
Text Classification (SP)
|
100% |
30
39.5 IPS |
|
|
Text Classification (HP)
|
100% |
66
87.5 IPS |
|
|
Text Classification (Q)
|
93% |
35
47.1 IPS |
|
|
Machine Translation (SP)
|
100% |
77
1.32 IPS |
|
|
Machine Translation (HP)
|
100% |
112
1.92 IPS |
|
|
Machine Translation (Q)
|
55% |
56
1.48 IPS |
