samsung SM-F766B
Geekbench AI Score
2242
Single Precision Score
2216
Half Precision Score
3597
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 05 2025 03:41 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| Model | samsung SM-F766B |
| Model ID | samsung SM-F766B |
| 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% |
2090
388.7 IPS |
|
|
Image Classification (HP)
|
100% |
2219
412.7 IPS |
|
|
Image Classification (Q)
|
100% |
3775
702.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2688
43.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2705
43.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
4394
71.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
4042
4.72 IPS |
|
|
Pose Estimation (HP)
|
100% |
3568
4.16 IPS |
|
|
Pose Estimation (Q)
|
84% |
8322
9.87 IPS |
|
|
Object Detection (SP)
|
98% |
1402
111.6 IPS |
|
|
Object Detection (HP)
|
98% |
1344
107.0 IPS |
|
|
Object Detection (Q)
|
83% |
2242
181.1 IPS |
|
|
Face Detection (SP)
|
100% |
3146
37.4 IPS |
|
|
Face Detection (HP)
|
100% |
3191
37.9 IPS |
|
|
Face Detection (Q)
|
95% |
5751
68.7 IPS |
|
|
Depth Estimation (SP)
|
99% |
3490
27.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
3222
24.9 IPS |
|
|
Depth Estimation (Q)
|
64% |
5885
53.9 IPS |
|
|
Style Transfer (SP)
|
89% |
8624
11.2 IPS |
|
|
Style Transfer (HP)
|
89% |
8705
11.3 IPS |
|
|
Style Transfer (Q)
|
98% |
16449
21.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1533
56.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1520
56.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4052
150.1 IPS |
|
|
Text Classification (SP)
|
100% |
658
877.9 IPS |
|
|
Text Classification (HP)
|
99% |
656
875.0 IPS |
|
|
Text Classification (Q)
|
88% |
910
1.23 KIPS |
|
|
Machine Translation (SP)
|
100% |
1056
18.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1114
19.2 IPS |
|
|
Machine Translation (Q)
|
50% |
572
20.3 IPS |
