samsung SM-F766U1
Geekbench AI Score
1743
Single Precision Score
2817
Half Precision Score
2002
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | July 09 2025 09:36 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
1019
189.5 IPS |
|
|
Image Classification (HP)
|
100% |
1466
272.6 IPS |
|
|
Image Classification (Q)
|
100% |
1348
250.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2106
34.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
3450
55.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
2952
48.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
9078
10.6 IPS |
|
|
Pose Estimation (HP)
|
99% |
16965
19.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
16433
19.3 IPS |
|
|
Object Detection (SP)
|
100% |
758
60.1 IPS |
|
|
Object Detection (HP)
|
99% |
1222
96.9 IPS |
|
|
Object Detection (Q)
|
84% |
1058
85.4 IPS |
|
|
Face Detection (SP)
|
100% |
3682
43.7 IPS |
|
|
Face Detection (HP)
|
100% |
6340
75.3 IPS |
|
|
Face Detection (Q)
|
97% |
4966
59.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
4913
37.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
7649
59.1 IPS |
|
|
Depth Estimation (Q)
|
62% |
5922
57.1 IPS |
|
|
Style Transfer (SP)
|
100% |
19059
24.5 IPS |
|
|
Style Transfer (HP)
|
100% |
27209
35.0 IPS |
|
|
Style Transfer (Q)
|
98% |
25528
32.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2717
100.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4103
151.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3957
146.7 IPS |
|
|
Text Classification (SP)
|
29% |
22
371.6 IPS |
|
|
Text Classification (HP)
|
35% |
49
445.5 IPS |
|
|
Text Classification (Q)
|
31% |
23
347.8 IPS |
|
|
Machine Translation (SP)
|
100% |
851
14.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1135
19.6 IPS |
|
|
Machine Translation (Q)
|
42% |
219
14.2 IPS |
