samsung SM-F766U1
Geekbench AI Score
1734
Single Precision Score
2703
Half Precision Score
1995
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| User | dangeredwolf |
| Upload Date | July 25 2025 09:52 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| Model | samsung SM-F766U1 |
| Model ID | samsung SM-F766U1 |
| Motherboard | s5e9955 |
| Governor | energy_aware |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 10 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 0 part 3461 revision 1 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 2 Cores @ 1.80 GHz |
| Cluster 2 | 5 Cores @ 2.36 GHz |
| Cluster 3 | 2 Cores @ 2.75 GHz |
| Cluster 4 | 1 Core @ 3.30 GHz |
| Memory Information | |
|---|---|
| Size | 10.95 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1002
186.4 IPS |
|
|
Image Classification (HP)
|
100% |
1583
294.4 IPS |
|
|
Image Classification (Q)
|
100% |
1347
250.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2053
33.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
3411
55.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
2665
43.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
9511
11.1 IPS |
|
|
Pose Estimation (HP)
|
99% |
16097
18.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
15218
17.8 IPS |
|
|
Object Detection (SP)
|
100% |
783
62.1 IPS |
|
|
Object Detection (HP)
|
99% |
1106
87.7 IPS |
|
|
Object Detection (Q)
|
84% |
1033
83.4 IPS |
|
|
Face Detection (SP)
|
100% |
3757
44.6 IPS |
|
|
Face Detection (HP)
|
100% |
5371
63.8 IPS |
|
|
Face Detection (Q)
|
97% |
4647
55.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5037
38.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
7646
59.1 IPS |
|
|
Depth Estimation (Q)
|
62% |
5826
56.2 IPS |
|
|
Style Transfer (SP)
|
100% |
18189
23.4 IPS |
|
|
Style Transfer (HP)
|
100% |
27875
35.8 IPS |
|
|
Style Transfer (Q)
|
98% |
28404
36.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2830
104.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4075
150.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4240
157.1 IPS |
|
|
Text Classification (SP)
|
29% |
20
337.2 IPS |
|
|
Text Classification (HP)
|
35% |
41
372.4 IPS |
|
|
Text Classification (Q)
|
30% |
25
400.0 IPS |
|
|
Machine Translation (SP)
|
100% |
827
14.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1134
19.5 IPS |
|
|
Machine Translation (Q)
|
42% |
218
14.1 IPS |
