acer X12-11
Geekbench AI Score
442
Single Precision Score
454
Half Precision Score
915
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | September 04 2025 03:22 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | acer X12-11 |
| Model ID | acer X12-11 |
| Motherboard | tb8781p1_64 |
| 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 @ 2.20 GHz |
| Memory Information | |
|---|---|
| Size | 7.65 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
215
40.0 IPS |
|
|
Image Classification (HP)
|
100% |
215
40.0 IPS |
|
|
Image Classification (Q)
|
100% |
639
118.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
262
4.24 IPS |
|
|
Image Segmentation (HP)
|
100% |
262
4.24 IPS |
|
|
Image Segmentation (Q)
|
98% |
690
11.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
1015
1.18 IPS |
|
|
Pose Estimation (HP)
|
100% |
1006
1.17 IPS |
|
|
Pose Estimation (Q)
|
84% |
1597
1.89 IPS |
|
|
Object Detection (SP)
|
100% |
213
16.9 IPS |
|
|
Object Detection (HP)
|
100% |
213
16.9 IPS |
|
|
Object Detection (Q)
|
83% |
623
50.4 IPS |
|
|
Face Detection (SP)
|
100% |
618
7.35 IPS |
|
|
Face Detection (HP)
|
100% |
619
7.35 IPS |
|
|
Face Detection (Q)
|
95% |
1445
17.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
452
3.48 IPS |
|
|
Depth Estimation (HP)
|
99% |
614
4.73 IPS |
|
|
Depth Estimation (Q)
|
64% |
1466
13.4 IPS |
|
|
Style Transfer (SP)
|
89% |
1721
2.23 IPS |
|
|
Style Transfer (HP)
|
89% |
1714
2.23 IPS |
|
|
Style Transfer (Q)
|
98% |
3617
4.66 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
431
15.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
431
15.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
880
32.6 IPS |
|
|
Text Classification (SP)
|
100% |
266
354.5 IPS |
|
|
Text Classification (HP)
|
100% |
261
348.7 IPS |
|
|
Text Classification (Q)
|
88% |
478
645.0 IPS |
|
|
Machine Translation (SP)
|
100% |
431
7.43 IPS |
|
|
Machine Translation (HP)
|
100% |
427
7.36 IPS |
|
|
Machine Translation (Q)
|
50% |
294
10.4 IPS |
