Technopc TM-T10SA-V2
Geekbench AI Score
669
Single Precision Score
662
Half Precision Score
1420
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | August 11 2025 11:07 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM Unisoc |
| System Information | |
|---|---|
| Operating System | Android 13 |
| Model | Technopc TM-T10SA-V2 |
| Model ID | Technopc TM-T10SA-V2 |
| Motherboard | l196_ums9620_64_t |
| Governor | schedutil |
| CPU Information | |
|---|---|
| Name | ARM Unisoc |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 4 part 3339 revision 0 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 4 Cores @ 2.00 GHz |
| Cluster 2 | 4 Cores @ 2.21 GHz |
| Memory Information | |
|---|---|
| Size | 3.32 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
370
68.7 IPS |
|
|
Image Classification (HP)
|
100% |
367
68.3 IPS |
|
|
Image Classification (Q)
|
100% |
1028
191.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
409
6.62 IPS |
|
|
Image Segmentation (HP)
|
100% |
410
6.64 IPS |
|
|
Image Segmentation (Q)
|
98% |
1208
19.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
1474
1.72 IPS |
|
|
Pose Estimation (HP)
|
100% |
1375
1.60 IPS |
|
|
Pose Estimation (Q)
|
84% |
2572
3.05 IPS |
|
|
Object Detection (SP)
|
100% |
328
26.1 IPS |
|
|
Object Detection (HP)
|
100% |
317
25.2 IPS |
|
|
Object Detection (Q)
|
83% |
972
78.5 IPS |
|
|
Face Detection (SP)
|
100% |
820
9.75 IPS |
|
|
Face Detection (HP)
|
100% |
840
9.98 IPS |
|
|
Face Detection (Q)
|
95% |
2422
28.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
1007
7.76 IPS |
|
|
Depth Estimation (HP)
|
99% |
1052
8.10 IPS |
|
|
Depth Estimation (Q)
|
64% |
2458
22.5 IPS |
|
|
Style Transfer (SP)
|
89% |
2296
2.98 IPS |
|
|
Style Transfer (HP)
|
89% |
2336
3.03 IPS |
|
|
Style Transfer (Q)
|
98% |
5760
7.43 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
631
23.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
633
23.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1517
56.2 IPS |
|
|
Text Classification (SP)
|
100% |
387
516.2 IPS |
|
|
Text Classification (HP)
|
100% |
381
508.7 IPS |
|
|
Text Classification (Q)
|
88% |
671
905.1 IPS |
|
|
Machine Translation (SP)
|
100% |
532
9.16 IPS |
|
|
Machine Translation (HP)
|
100% |
499
8.59 IPS |
|
|
Machine Translation (Q)
|
50% |
308
10.9 IPS |
