Samsung Galaxy Z Flip6
Geekbench AI Score
321
Single Precision Score
21248
Half Precision Score
48250
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | Beamish |
| Upload Date | November 04 2025 10:58 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | QNN |
| 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% |
237
44.2 IPS |
|
|
Image Classification (HP)
|
100% |
17613
3.28 KIPS |
|
|
Image Classification (Q)
|
97% |
40659
7.59 KIPS |
|
|
Image Segmentation (SP)
|
100% |
307
4.97 IPS |
|
|
Image Segmentation (HP)
|
100% |
10683
173.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
31062
505.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
433
0.51 IPS |
|
|
Pose Estimation (HP)
|
100% |
99188
115.7 IPS |
|
|
Pose Estimation (Q)
|
98% |
397609
465.4 IPS |
|
|
Object Detection (SP)
|
100% |
180
14.3 IPS |
|
|
Object Detection (HP)
|
100% |
14979
1.19 KIPS |
|
|
Object Detection (Q)
|
86% |
18843
1.52 KIPS |
|
|
Face Detection (SP)
|
100% |
448
5.32 IPS |
|
|
Face Detection (HP)
|
100% |
30537
362.8 IPS |
|
|
Face Detection (Q)
|
97% |
98828
1.18 KIPS |
|
|
Depth Estimation (SP)
|
100% |
345
2.66 IPS |
|
|
Depth Estimation (HP)
|
99% |
59023
454.7 IPS |
|
|
Depth Estimation (Q)
|
63% |
104481
978.3 IPS |
|
|
Style Transfer (SP)
|
100% |
673
0.87 IPS |
|
|
Style Transfer (HP)
|
98% |
84952
109.5 IPS |
|
|
Style Transfer (Q)
|
98% |
421148
543.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
223
8.23 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
43962
1.62 KIPS |
|
|
Image Super-Resolution (Q)
|
97% |
103051
3.82 KIPS |
|
|
Text Classification (SP)
|
100% |
237
316.7 IPS |
|
|
Text Classification (HP)
|
100% |
3060
4.08 KIPS |
|
|
Text Classification (Q)
|
93% |
6706
9.00 KIPS |
|
|
Machine Translation (SP)
|
100% |
374
6.44 IPS |
|
|
Machine Translation (HP)
|
100% |
3259
56.1 IPS |
|
|
Machine Translation (Q)
|
55% |
2405
63.0 IPS |
