samsung SM-F766W
Geekbench AI Score
1000
Single Precision Score
1597
Half Precision Score
1302
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 09 2025 12:55 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| Model | samsung SM-F766W |
| Model ID | samsung SM-F766W |
| 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% |
329
61.2 IPS |
|
|
Image Classification (HP)
|
100% |
625
116.3 IPS |
|
|
Image Classification (Q)
|
100% |
572
106.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
638
10.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1184
19.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
1015
16.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
3062
3.57 IPS |
|
|
Pose Estimation (HP)
|
99% |
5870
6.85 IPS |
|
|
Pose Estimation (Q)
|
95% |
5767
6.76 IPS |
|
|
Object Detection (SP)
|
100% |
228
18.1 IPS |
|
|
Object Detection (HP)
|
99% |
497
39.5 IPS |
|
|
Object Detection (Q)
|
84% |
479
38.6 IPS |
|
|
Face Detection (SP)
|
100% |
3229
38.4 IPS |
|
|
Face Detection (HP)
|
100% |
4415
52.5 IPS |
|
|
Face Detection (Q)
|
97% |
3604
43.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
4008
30.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
7000
54.1 IPS |
|
|
Depth Estimation (Q)
|
62% |
5169
49.8 IPS |
|
|
Style Transfer (SP)
|
100% |
16429
21.1 IPS |
|
|
Style Transfer (HP)
|
100% |
23631
30.4 IPS |
|
|
Style Transfer (Q)
|
98% |
25678
33.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2544
94.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3652
134.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3257
120.7 IPS |
|
|
Text Classification (SP)
|
29% |
19
328.0 IPS |
|
|
Text Classification (HP)
|
29% |
23
394.3 IPS |
|
|
Text Classification (Q)
|
29% |
26
442.6 IPS |
|
|
Machine Translation (SP)
|
100% |
667
11.5 IPS |
|
|
Machine Translation (HP)
|
100% |
819
14.1 IPS |
|
|
Machine Translation (Q)
|
42% |
217
14.1 IPS |
