samsung SM-T978U
Geekbench AI Score
698
Single Precision Score
624
Half Precision Score
1045
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | December 24 2024 09:37 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM Qualcomm |
| System Information | |
|---|---|
| Operating System | Android 12 |
| Model | samsung SM-T978U |
| Model ID | samsung SM-T978U |
| Motherboard | kona |
| Governor | schedutil |
| CPU Information | |
|---|---|
| Name | ARM Qualcomm |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3341 revision 0 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 4 Cores @ 1.80 GHz |
| Cluster 2 | 3 Cores @ 2.42 GHz |
| Cluster 3 | 1 Core @ 3.09 GHz |
| Memory Information | |
|---|---|
| Size | 5.50 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
172
32.0 IPS |
|
|
Image Classification (HP)
|
100% |
178
33.2 IPS |
|
|
Image Classification (Q)
|
100% |
1444
268.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
581
9.42 IPS |
|
|
Image Segmentation (HP)
|
100% |
580
9.41 IPS |
|
|
Image Segmentation (Q)
|
98% |
1614
26.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
1977
2.31 IPS |
|
|
Pose Estimation (HP)
|
100% |
1843
2.15 IPS |
|
|
Pose Estimation (Q)
|
84% |
3177
3.77 IPS |
|
|
Object Detection (SP)
|
100% |
390
31.0 IPS |
|
|
Object Detection (HP)
|
100% |
154
12.2 IPS |
|
|
Object Detection (Q)
|
83% |
414
33.4 IPS |
|
|
Face Detection (SP)
|
100% |
1412
16.8 IPS |
|
|
Face Detection (HP)
|
100% |
1434
17.0 IPS |
|
|
Face Detection (Q)
|
95% |
3086
36.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
1759
13.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
1418
10.9 IPS |
|
|
Depth Estimation (Q)
|
64% |
1006
9.22 IPS |
|
|
Style Transfer (SP)
|
89% |
3413
4.43 IPS |
|
|
Style Transfer (HP)
|
89% |
3492
4.53 IPS |
|
|
Style Transfer (Q)
|
98% |
6263
8.08 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
979
36.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1002
37.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
639
23.7 IPS |
|
|
Text Classification (SP)
|
100% |
164
218.8 IPS |
|
|
Text Classification (HP)
|
100% |
165
219.8 IPS |
|
|
Text Classification (Q)
|
88% |
252
340.0 IPS |
|
|
Machine Translation (SP)
|
100% |
263
4.53 IPS |
|
|
Machine Translation (HP)
|
100% |
262
4.52 IPS |
|
|
Machine Translation (Q)
|
50% |
162
5.75 IPS |
