samsung SM-F766U
Geekbench AI Score
1811
Single Precision Score
2737
Half Precision Score
2115
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 10 2025 05:34 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| Model | samsung SM-F766U |
| Model ID | samsung SM-F766U |
| 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% |
980
182.2 IPS |
|
|
Image Classification (HP)
|
100% |
1454
270.4 IPS |
|
|
Image Classification (Q)
|
100% |
1733
322.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2352
38.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
3542
57.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
3594
58.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
9242
10.8 IPS |
|
|
Pose Estimation (HP)
|
99% |
15897
18.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
15505
18.2 IPS |
|
|
Object Detection (SP)
|
100% |
932
74.0 IPS |
|
|
Object Detection (HP)
|
99% |
1309
103.9 IPS |
|
|
Object Detection (Q)
|
84% |
1068
86.1 IPS |
|
|
Face Detection (SP)
|
100% |
3620
43.0 IPS |
|
|
Face Detection (HP)
|
100% |
6940
82.5 IPS |
|
|
Face Detection (Q)
|
97% |
4932
58.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
4866
37.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
8012
61.9 IPS |
|
|
Depth Estimation (Q)
|
62% |
6406
61.8 IPS |
|
|
Style Transfer (SP)
|
100% |
19043
24.5 IPS |
|
|
Style Transfer (HP)
|
100% |
27520
35.4 IPS |
|
|
Style Transfer (Q)
|
98% |
27045
34.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3075
113.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4327
159.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4173
154.7 IPS |
|
|
Text Classification (SP)
|
29% |
22
374.6 IPS |
|
|
Text Classification (HP)
|
29% |
29
494.8 IPS |
|
|
Text Classification (Q)
|
29% |
22
375.6 IPS |
|
|
Machine Translation (SP)
|
100% |
844
14.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1148
19.8 IPS |
|
|
Machine Translation (Q)
|
42% |
222
14.4 IPS |
