samsung SM-T590
Geekbench AI Score
10
Single Precision Score
10
Half Precision Score
5
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | April 30 2025 04:51 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM Qualcomm |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | samsung SM-T590 |
| Model ID | samsung SM-T590 |
| Motherboard | msm8953 |
| Governor | interactive |
| CPU Information | |
|---|---|
| Name | ARM Qualcomm |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 0 part 3331 revision 4 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 8 Cores @ 1.80 GHz |
| Memory Information | |
|---|---|
| Size | 2.60 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
0% |
0
636.2 IPS |
|
|
Image Classification (HP)
|
0% |
0
632.3 IPS |
|
|
Image Classification (Q)
|
0% |
0
774.3 IPS |
|
|
Image Segmentation (SP)
|
73% |
3397
58.7 IPS |
|
|
Image Segmentation (HP)
|
73% |
3450
59.6 IPS |
|
|
Image Segmentation (Q)
|
73% |
9341
161.4 IPS |
|
|
Pose Estimation (SP)
|
0% |
0
193.8 IPS |
|
|
Pose Estimation (HP)
|
0% |
0
204.5 IPS |
|
|
Pose Estimation (Q)
|
0% |
0
485.7 IPS |
|
|
Object Detection (SP)
|
0% |
0
285.1 IPS |
|
|
Object Detection (HP)
|
0% |
0
253.1 IPS |
|
|
Object Detection (Q)
|
0% |
0
231.2 IPS |
|
|
Face Detection (SP)
|
0% |
0
81.8 IPS |
|
|
Face Detection (HP)
|
0% |
0
87.2 IPS |
|
|
Face Detection (Q)
|
0% |
0
144.8 IPS |
|
|
Depth Estimation (SP)
|
0% |
0
213.1 IPS |
|
|
Depth Estimation (HP)
|
0% |
0
215.4 IPS |
|
|
Depth Estimation (Q)
|
0% |
0
207.2 IPS |
|
|
Style Transfer (SP)
|
32% |
29390
368.6 IPS |
|
|
Style Transfer (HP)
|
32% |
26321
330.1 IPS |
|
|
Style Transfer (Q)
|
0% |
0
972.7 IPS |
|
|
Image Super-Resolution (SP)
|
1% |
0
407.3 IPS |
|
|
Image Super-Resolution (HP)
|
1% |
0
426.8 IPS |
|
|
Image Super-Resolution (Q)
|
2% |
55
650.4 IPS |
|
|
Text Classification (SP)
|
29% |
153
2.64 KIPS |
|
|
Text Classification (HP)
|
29% |
154
2.67 KIPS |
|
|
Text Classification (Q)
|
29% |
115
1.98 KIPS |
|
|
Machine Translation (SP)
|
0% |
0
1.77 IPS |
|
|
Machine Translation (HP)
|
0% |
0
1.72 IPS |
|
|
Machine Translation (Q)
|
0% |
0
1.56 IPS |
