samsung SM-F766U1
Geekbench AI Score
2310
Single Precision Score
2230
Half Precision Score
3674
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | July 09 2025 09:31 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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% |
2290
425.9 IPS |
|
|
Image Classification (HP)
|
100% |
2314
430.3 IPS |
|
|
Image Classification (Q)
|
100% |
3894
724.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2687
43.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2624
42.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
4158
67.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
4306
5.02 IPS |
|
|
Pose Estimation (HP)
|
100% |
3546
4.14 IPS |
|
|
Pose Estimation (Q)
|
84% |
8300
9.84 IPS |
|
|
Object Detection (SP)
|
98% |
1336
106.3 IPS |
|
|
Object Detection (HP)
|
98% |
1451
115.5 IPS |
|
|
Object Detection (Q)
|
83% |
2516
203.3 IPS |
|
|
Face Detection (SP)
|
100% |
3203
38.1 IPS |
|
|
Face Detection (HP)
|
100% |
3001
35.7 IPS |
|
|
Face Detection (Q)
|
95% |
5576
66.6 IPS |
|
|
Depth Estimation (SP)
|
99% |
3506
27.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
3386
26.2 IPS |
|
|
Depth Estimation (Q)
|
64% |
6381
58.4 IPS |
|
|
Style Transfer (SP)
|
89% |
8990
11.7 IPS |
|
|
Style Transfer (HP)
|
89% |
8957
11.6 IPS |
|
|
Style Transfer (Q)
|
98% |
16481
21.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1594
58.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1552
57.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4287
158.8 IPS |
|
|
Text Classification (SP)
|
100% |
663
885.6 IPS |
|
|
Text Classification (HP)
|
99% |
653
871.3 IPS |
|
|
Text Classification (Q)
|
88% |
964
1.30 KIPS |
|
|
Machine Translation (SP)
|
100% |
1148
19.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1056
18.2 IPS |
|
|
Machine Translation (Q)
|
50% |
547
19.4 IPS |
