samsung SM-F766U1
Geekbench AI Score
2155
Single Precision Score
2151
Half Precision Score
3426
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| User | dangeredwolf |
| Upload Date | July 25 2025 09:55 AM |
| Views | 7 |
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% |
2293
426.4 IPS |
|
|
Image Classification (HP)
|
100% |
2295
426.9 IPS |
|
|
Image Classification (Q)
|
100% |
3764
700.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2642
42.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2706
43.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
4511
73.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
4496
5.25 IPS |
|
|
Pose Estimation (HP)
|
100% |
3534
4.12 IPS |
|
|
Pose Estimation (Q)
|
84% |
7590
9.00 IPS |
|
|
Object Detection (SP)
|
98% |
1216
96.8 IPS |
|
|
Object Detection (HP)
|
98% |
1268
100.9 IPS |
|
|
Object Detection (Q)
|
83% |
2050
165.6 IPS |
|
|
Face Detection (SP)
|
100% |
2681
31.9 IPS |
|
|
Face Detection (HP)
|
100% |
3168
37.6 IPS |
|
|
Face Detection (Q)
|
95% |
5740
68.5 IPS |
|
|
Depth Estimation (SP)
|
99% |
2969
22.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
3011
23.3 IPS |
|
|
Depth Estimation (Q)
|
64% |
5993
54.9 IPS |
|
|
Style Transfer (SP)
|
89% |
8493
11.0 IPS |
|
|
Style Transfer (HP)
|
89% |
8127
10.6 IPS |
|
|
Style Transfer (Q)
|
98% |
14719
19.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1319
48.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1404
51.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3778
140.0 IPS |
|
|
Text Classification (SP)
|
100% |
609
813.0 IPS |
|
|
Text Classification (HP)
|
99% |
611
815.8 IPS |
|
|
Text Classification (Q)
|
88% |
842
1.14 KIPS |
|
|
Machine Translation (SP)
|
100% |
1205
20.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1147
19.8 IPS |
|
|
Machine Translation (Q)
|
50% |
524
18.6 IPS |
