Ulefone Armor 27T Pro
Geekbench AI Score
427
Single Precision Score
413
Half Precision Score
840
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | October 21 2024 03:42 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | Ulefone Armor 27T Pro |
| Model ID | Ulefone Armor 27T Pro |
| Motherboard | GQ5008AF2 |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 4 part 3339 revision 0 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 6 Cores @ 2.00 GHz |
| Cluster 2 | 2 Cores @ 2.40 GHz |
| Memory Information | |
|---|---|
| Size | 11.35 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
230
42.7 IPS |
|
|
Image Classification (HP)
|
100% |
227
42.2 IPS |
|
|
Image Classification (Q)
|
100% |
673
125.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
279
4.53 IPS |
|
|
Image Segmentation (HP)
|
100% |
279
4.52 IPS |
|
|
Image Segmentation (Q)
|
98% |
725
11.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
1044
1.22 IPS |
|
|
Pose Estimation (HP)
|
100% |
729
0.85 IPS |
|
|
Pose Estimation (Q)
|
84% |
1587
1.88 IPS |
|
|
Object Detection (SP)
|
100% |
198
15.7 IPS |
|
|
Object Detection (HP)
|
100% |
188
14.9 IPS |
|
|
Object Detection (Q)
|
83% |
560
45.2 IPS |
|
|
Face Detection (SP)
|
100% |
616
7.32 IPS |
|
|
Face Detection (HP)
|
100% |
526
6.25 IPS |
|
|
Face Detection (Q)
|
95% |
1078
12.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
442
3.41 IPS |
|
|
Depth Estimation (HP)
|
99% |
624
4.81 IPS |
|
|
Depth Estimation (Q)
|
64% |
1211
11.1 IPS |
|
|
Style Transfer (SP)
|
89% |
1436
1.86 IPS |
|
|
Style Transfer (HP)
|
89% |
1498
1.94 IPS |
|
|
Style Transfer (Q)
|
98% |
3325
4.29 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
429
15.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
374
13.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
709
26.3 IPS |
|
|
Text Classification (SP)
|
100% |
226
301.6 IPS |
|
|
Text Classification (HP)
|
100% |
238
318.2 IPS |
|
|
Text Classification (Q)
|
88% |
473
638.6 IPS |
|
|
Machine Translation (SP)
|
100% |
402
6.93 IPS |
|
|
Machine Translation (HP)
|
100% |
389
6.71 IPS |
|
|
Machine Translation (Q)
|
50% |
280
9.96 IPS |
