Samsung Galaxy Z Flip6
Geekbench AI Score
1913
Single Precision Score
1800
Half Precision Score
2572
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | Beamish |
| Upload Date | November 04 2025 10:38 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Qualcomm Snapdragon 8 Gen 3 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | Samsung Galaxy Z Flip6 |
| Model ID | samsung SM-F741B |
| Motherboard | pineapple |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 0 part 3458 revision 1 |
| Base Frequency | 2.26 GHz |
| Cluster 1 | 2 Cores @ 2.27 GHz |
| Cluster 2 | 2 Cores @ 2.96 GHz |
| Cluster 3 | 3 Cores @ 3.15 GHz |
| Cluster 4 | 1 Core @ 3.40 GHz |
| Memory Information | |
|---|---|
| Size | 10.86 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2380
442.6 IPS |
|
|
Image Classification (HP)
|
100% |
1585
294.8 IPS |
|
|
Image Classification (Q)
|
100% |
1938
360.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1756
28.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1564
25.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
2293
37.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
2799
3.27 IPS |
|
|
Pose Estimation (HP)
|
100% |
2679
3.13 IPS |
|
|
Pose Estimation (Q)
|
84% |
6255
7.42 IPS |
|
|
Object Detection (SP)
|
98% |
1422
113.2 IPS |
|
|
Object Detection (HP)
|
98% |
1404
111.8 IPS |
|
|
Object Detection (Q)
|
83% |
2013
162.6 IPS |
|
|
Face Detection (SP)
|
100% |
2762
32.8 IPS |
|
|
Face Detection (HP)
|
100% |
2877
34.2 IPS |
|
|
Face Detection (Q)
|
95% |
4394
52.5 IPS |
|
|
Depth Estimation (SP)
|
99% |
2909
22.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
2832
21.9 IPS |
|
|
Depth Estimation (Q)
|
64% |
4553
41.7 IPS |
|
|
Style Transfer (SP)
|
89% |
6387
8.29 IPS |
|
|
Style Transfer (HP)
|
89% |
6018
7.81 IPS |
|
|
Style Transfer (Q)
|
98% |
11000
14.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1259
46.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1241
45.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2730
101.2 IPS |
|
|
Text Classification (SP)
|
100% |
518
691.4 IPS |
|
|
Text Classification (HP)
|
99% |
533
711.7 IPS |
|
|
Text Classification (Q)
|
88% |
715
964.6 IPS |
|
|
Machine Translation (SP)
|
100% |
1183
20.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1185
20.4 IPS |
|
|
Machine Translation (Q)
|
50% |
529
18.8 IPS |
