Samsung Galaxy Z Flip6
Geekbench AI Score
1089
Single Precision Score
1719
Half Precision Score
1205
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | Beamish |
| Upload Date | November 04 2025 10:41 AM |
| Views | 16 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
1256
233.6 IPS |
|
|
Image Classification (HP)
|
100% |
1891
351.6 IPS |
|
|
Image Classification (Q)
|
100% |
1651
307.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2626
42.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
3896
63.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
2693
43.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
10844
12.7 IPS |
|
|
Pose Estimation (HP)
|
99% |
18674
21.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
6694
7.84 IPS |
|
|
Object Detection (SP)
|
100% |
418
33.1 IPS |
|
|
Object Detection (HP)
|
99% |
603
47.8 IPS |
|
|
Object Detection (Q)
|
87% |
602
48.4 IPS |
|
|
Face Detection (SP)
|
100% |
1913
22.7 IPS |
|
|
Face Detection (HP)
|
100% |
3343
39.7 IPS |
|
|
Face Detection (Q)
|
97% |
2939
35.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
1980
15.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
2765
21.4 IPS |
|
|
Depth Estimation (Q)
|
61% |
2128
21.0 IPS |
|
|
Style Transfer (SP)
|
100% |
5094
6.55 IPS |
|
|
Style Transfer (HP)
|
100% |
10573
13.6 IPS |
|
|
Style Transfer (Q)
|
98% |
10495
13.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1000
36.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1652
61.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1690
62.7 IPS |
|
|
Text Classification (SP)
|
35% |
20
197.7 IPS |
|
|
Text Classification (HP)
|
35% |
27
249.1 IPS |
|
|
Text Classification (Q)
|
33% |
22
261.5 IPS |
|
|
Machine Translation (SP)
|
100% |
409
7.05 IPS |
|
|
Machine Translation (HP)
|
97% |
626
10.8 IPS |
|
|
Machine Translation (Q)
|
43% |
148
8.43 IPS |
