samsung SM-F766B
Geekbench AI Score
3849
Single Precision Score
29419
Half Precision Score
44636
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | kasid |
| Upload Date | September 26 2025 11:43 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | ENN |
| 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% |
1609
299.3 IPS |
|
|
Image Classification (HP)
|
100% |
18477
3.44 KIPS |
|
|
Image Classification (Q)
|
100% |
36709
6.83 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3345
54.2 IPS |
|
|
Image Segmentation (HP)
|
97% |
14631
238.0 IPS |
|
|
Image Segmentation (Q)
|
96% |
32238
524.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
17078
19.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
115924
135.3 IPS |
|
|
Pose Estimation (Q)
|
97% |
258079
302.2 IPS |
|
|
Object Detection (SP)
|
100% |
1804
143.1 IPS |
|
|
Object Detection (HP)
|
100% |
14880
1.18 KIPS |
|
|
Object Detection (Q)
|
88% |
21608
1.73 KIPS |
|
|
Face Detection (SP)
|
100% |
5613
66.7 IPS |
|
|
Face Detection (HP)
|
100% |
21309
253.2 IPS |
|
|
Face Detection (Q)
|
96% |
82451
983.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8703
67.1 IPS |
|
|
Depth Estimation (HP)
|
79% |
83771
665.2 IPS |
|
|
Depth Estimation (Q)
|
63% |
131307
1.22 KIPS |
|
|
Style Transfer (SP)
|
100% |
32100
41.3 IPS |
|
|
Style Transfer (HP)
|
99% |
234063
300.9 IPS |
|
|
Style Transfer (Q)
|
98% |
289390
373.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4261
157.3 IPS |
|
|
Image Super-Resolution (HP)
|
98% |
39008
1.44 KIPS |
|
|
Image Super-Resolution (Q)
|
97% |
41428
1.54 KIPS |
|
|
Text Classification (SP)
|
100% |
494
659.7 IPS |
|
|
Text Classification (HP)
|
100% |
7601
10.1 KIPS |
|
|
Text Classification (Q)
|
93% |
8525
11.4 KIPS |
|
|
Machine Translation (SP)
|
100% |
1305
22.5 IPS |
|
|
Machine Translation (HP)
|
100% |
8406
144.8 IPS |
|
|
Machine Translation (Q)
|
48% |
4300
166.3 IPS |
