samsung SM-X610
Geekbench AI Score
501
Single Precision Score
741
Half Precision Score
582
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | August 28 2025 06:07 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | samsung SM-X610 |
| Model ID | samsung SM-X610 |
| Motherboard | s5e8835 |
| Governor | energy_aware |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3393 revision 1 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 4 Cores @ 2.00 GHz |
| Cluster 2 | 4 Cores @ 2.40 GHz |
| Memory Information | |
|---|---|
| Size | 7.54 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
243
45.2 IPS |
|
|
Image Classification (HP)
|
100% |
217
40.3 IPS |
|
|
Image Classification (Q)
|
97% |
184
34.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
566
9.18 IPS |
|
|
Image Segmentation (HP)
|
100% |
1201
19.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
1098
17.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
2465
2.88 IPS |
|
|
Pose Estimation (HP)
|
100% |
4829
5.63 IPS |
|
|
Pose Estimation (Q)
|
95% |
4736
5.55 IPS |
|
|
Object Detection (SP)
|
100% |
346
27.5 IPS |
|
|
Object Detection (HP)
|
99% |
455
36.1 IPS |
|
|
Object Detection (Q)
|
83% |
426
34.4 IPS |
|
|
Face Detection (SP)
|
100% |
1196
14.2 IPS |
|
|
Face Detection (HP)
|
100% |
1863
22.1 IPS |
|
|
Face Detection (Q)
|
96% |
1867
22.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
1610
12.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
2829
21.9 IPS |
|
|
Depth Estimation (Q)
|
62% |
2211
21.0 IPS |
|
|
Style Transfer (SP)
|
100% |
3913
5.03 IPS |
|
|
Style Transfer (HP)
|
100% |
8844
11.4 IPS |
|
|
Style Transfer (Q)
|
98% |
8605
11.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
835
30.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1005
37.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
991
36.7 IPS |
|
|
Text Classification (SP)
|
35% |
6
56.6 IPS |
|
|
Text Classification (HP)
|
35% |
10
94.3 IPS |
|
|
Text Classification (Q)
|
32% |
7
93.5 IPS |
|
|
Machine Translation (SP)
|
100% |
226
3.90 IPS |
|
|
Machine Translation (HP)
|
100% |
187
3.22 IPS |
|
|
Machine Translation (Q)
|
43% |
45
2.60 IPS |
