Teclast ArtPadPro_ROW
Geekbench AI Score
278
Single Precision Score
469
Half Precision Score
375
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | PC-FREEDOM |
| Upload Date | September 14 2025 09:16 AM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | Teclast ArtPadPro_ROW |
| Model ID | Teclast ArtPadPro_ROW |
| Motherboard | tb8781_64_cm89_v10 |
| 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 | 7.52 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
178
33.2 IPS |
|
|
Image Classification (HP)
|
100% |
328
60.9 IPS |
|
|
Image Classification (Q)
|
97% |
170
31.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
257
4.16 IPS |
|
|
Image Segmentation (HP)
|
100% |
559
9.07 IPS |
|
|
Image Segmentation (Q)
|
98% |
496
8.06 IPS |
|
|
Pose Estimation (SP)
|
100% |
1162
1.36 IPS |
|
|
Pose Estimation (HP)
|
100% |
2080
2.43 IPS |
|
|
Pose Estimation (Q)
|
95% |
2041
2.39 IPS |
|
|
Object Detection (SP)
|
100% |
148
11.7 IPS |
|
|
Object Detection (HP)
|
99% |
290
23.0 IPS |
|
|
Object Detection (Q)
|
83% |
282
22.8 IPS |
|
|
Face Detection (SP)
|
100% |
594
7.06 IPS |
|
|
Face Detection (HP)
|
100% |
1053
12.5 IPS |
|
|
Face Detection (Q)
|
96% |
1060
12.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
795
6.12 IPS |
|
|
Depth Estimation (HP)
|
98% |
1497
11.6 IPS |
|
|
Depth Estimation (Q)
|
62% |
1265
12.0 IPS |
|
|
Style Transfer (SP)
|
100% |
1945
2.50 IPS |
|
|
Style Transfer (HP)
|
100% |
4037
5.19 IPS |
|
|
Style Transfer (Q)
|
98% |
3953
5.10 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
472
17.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
812
30.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
771
28.6 IPS |
|
|
Text Classification (SP)
|
29% |
5
92.0 IPS |
|
|
Text Classification (HP)
|
29% |
5
89.0 IPS |
|
|
Text Classification (Q)
|
32% |
6
80.0 IPS |
|
|
Machine Translation (SP)
|
100% |
163
2.80 IPS |
|
|
Machine Translation (HP)
|
100% |
183
3.15 IPS |
|
|
Machine Translation (Q)
|
43% |
47
2.73 IPS |
