samsung SM-F766U1
Geekbench AI Score
388
Single Precision Score
385
Half Precision Score
829
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| User | dangeredwolf |
| Upload Date | July 25 2025 09:44 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| 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% |
203
37.7 IPS |
|
|
Image Classification (HP)
|
100% |
211
39.2 IPS |
|
|
Image Classification (Q)
|
99% |
456
85.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
258
4.18 IPS |
|
|
Image Segmentation (HP)
|
100% |
298
4.84 IPS |
|
|
Image Segmentation (Q)
|
98% |
625
10.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
441
0.51 IPS |
|
|
Pose Estimation (HP)
|
100% |
413
0.48 IPS |
|
|
Pose Estimation (Q)
|
98% |
1858
2.18 IPS |
|
|
Object Detection (SP)
|
100% |
273
21.6 IPS |
|
|
Object Detection (HP)
|
100% |
258
20.5 IPS |
|
|
Object Detection (Q)
|
87% |
572
45.9 IPS |
|
|
Face Detection (SP)
|
100% |
659
7.83 IPS |
|
|
Face Detection (HP)
|
100% |
707
8.40 IPS |
|
|
Face Detection (Q)
|
97% |
1434
17.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
475
3.66 IPS |
|
|
Depth Estimation (HP)
|
99% |
458
3.53 IPS |
|
|
Depth Estimation (Q)
|
64% |
1102
10.0 IPS |
|
|
Style Transfer (SP)
|
100% |
762
0.98 IPS |
|
|
Style Transfer (HP)
|
100% |
684
0.88 IPS |
|
|
Style Transfer (Q)
|
98% |
1886
2.43 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
279
10.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
280
10.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1146
42.5 IPS |
|
|
Text Classification (SP)
|
100% |
335
446.5 IPS |
|
|
Text Classification (HP)
|
100% |
341
455.1 IPS |
|
|
Text Classification (Q)
|
91% |
431
579.8 IPS |
|
|
Machine Translation (SP)
|
100% |
553
9.52 IPS |
|
|
Machine Translation (HP)
|
100% |
509
8.77 IPS |
|
|
Machine Translation (Q)
|
57% |
345
8.43 IPS |
