samsung SM-S711U1
Geekbench AI Score
998
Single Precision Score
1592
Half Precision Score
1513
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | klcs1998 |
| Upload Date | September 06 2025 05:42 AM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | samsung SM-S711U1 |
| Model ID | samsung SM-S711U1 |
| Motherboard | taro |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 2 part 3400 revision 0 |
| Base Frequency | 1.78 GHz |
| Cluster 1 | 4 Cores @ 1.79 GHz |
| Cluster 2 | 3 Cores @ 2.50 GHz |
| Cluster 3 | 1 Core @ 3.00 GHz |
| Memory Information | |
|---|---|
| Size | 7.05 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
867
161.2 IPS |
|
|
Image Classification (HP)
|
100% |
1421
264.2 IPS |
|
|
Image Classification (Q)
|
99% |
1209
225.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1638
26.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2753
44.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
2239
36.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
6109
7.13 IPS |
|
|
Pose Estimation (HP)
|
99% |
8035
9.38 IPS |
|
|
Pose Estimation (Q)
|
97% |
7071
8.28 IPS |
|
|
Object Detection (SP)
|
100% |
379
30.1 IPS |
|
|
Object Detection (HP)
|
99% |
646
51.2 IPS |
|
|
Object Detection (Q)
|
85% |
638
51.3 IPS |
|
|
Face Detection (SP)
|
100% |
2247
26.7 IPS |
|
|
Face Detection (HP)
|
100% |
3475
41.3 IPS |
|
|
Face Detection (Q)
|
97% |
3035
36.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
2294
17.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
3844
29.7 IPS |
|
|
Depth Estimation (Q)
|
65% |
3250
29.2 IPS |
|
|
Style Transfer (SP)
|
100% |
5478
7.04 IPS |
|
|
Style Transfer (HP)
|
100% |
11312
14.5 IPS |
|
|
Style Transfer (Q)
|
98% |
11273
14.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
820
30.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1605
59.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1638
60.7 IPS |
|
|
Text Classification (SP)
|
35% |
32
315.4 IPS |
|
|
Text Classification (HP)
|
35% |
44
398.4 IPS |
|
|
Text Classification (Q)
|
35% |
45
411.4 IPS |
|
|
Machine Translation (SP)
|
100% |
406
7.00 IPS |
|
|
Machine Translation (HP)
|
97% |
485
8.38 IPS |
|
|
Machine Translation (Q)
|
64% |
630
12.9 IPS |
