QUALCOMM TabUltraCPro
Geekbench AI Score
807
Single Precision Score
797
Half Precision Score
1507
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | Longfellow55 |
| Upload Date | February 23 2025 02:09 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Qualcomm Qualcomm |
| System Information | |
|---|---|
| Operating System | Android 12 |
| Model | QUALCOMM TabUltraCPro |
| Model ID | QUALCOMM TabUltraCPro |
| Motherboard | msmnile |
| Governor | schedutil |
| CPU Information | |
|---|---|
| Name | Qualcomm Qualcomm |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 81 architecture 8 variant 13 part 2052 revision 14 |
| Base Frequency | 1.78 GHz |
| Cluster 1 | 4 Cores @ 1.79 GHz |
| Cluster 2 | 3 Cores @ 2.42 GHz |
| Cluster 3 | 1 Core @ 2.84 GHz |
| Memory Information | |
|---|---|
| Size | 5.37 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
447
83.1 IPS |
|
|
Image Classification (HP)
|
100% |
394
73.2 IPS |
|
|
Image Classification (Q)
|
100% |
1126
209.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
483
7.82 IPS |
|
|
Image Segmentation (HP)
|
100% |
476
7.72 IPS |
|
|
Image Segmentation (Q)
|
98% |
1264
20.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
1584
1.85 IPS |
|
|
Pose Estimation (HP)
|
100% |
1545
1.80 IPS |
|
|
Pose Estimation (Q)
|
84% |
2569
3.05 IPS |
|
|
Object Detection (SP)
|
100% |
357
28.3 IPS |
|
|
Object Detection (HP)
|
100% |
355
28.1 IPS |
|
|
Object Detection (Q)
|
83% |
1043
84.2 IPS |
|
|
Face Detection (SP)
|
100% |
1175
14.0 IPS |
|
|
Face Detection (HP)
|
100% |
1146
13.6 IPS |
|
|
Face Detection (Q)
|
95% |
2392
28.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
1267
9.76 IPS |
|
|
Depth Estimation (HP)
|
99% |
1300
10.0 IPS |
|
|
Depth Estimation (Q)
|
64% |
2374
21.7 IPS |
|
|
Style Transfer (SP)
|
89% |
2812
3.65 IPS |
|
|
Style Transfer (HP)
|
89% |
2798
3.63 IPS |
|
|
Style Transfer (Q)
|
98% |
5906
7.62 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
803
29.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
827
30.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1465
54.3 IPS |
|
|
Text Classification (SP)
|
100% |
422
562.8 IPS |
|
|
Text Classification (HP)
|
100% |
455
607.9 IPS |
|
|
Text Classification (Q)
|
88% |
784
1.06 KIPS |
|
|
Machine Translation (SP)
|
100% |
677
11.7 IPS |
|
|
Machine Translation (HP)
|
100% |
646
11.1 IPS |
|
|
Machine Translation (Q)
|
50% |
413
14.7 IPS |
