Samsung Galaxy Z Flip6
Geekbench AI Score
1223
Single Precision Score
1985
Half Precision Score
1430
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | Jin_Choi |
| Upload Date | November 10 2025 01:21 AM |
| Views | 3 |
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-F741N |
| 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% |
1221
227.1 IPS |
|
|
Image Classification (HP)
|
100% |
2228
414.3 IPS |
|
|
Image Classification (Q)
|
100% |
1733
322.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2449
39.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
3709
60.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
2894
47.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
10632
12.4 IPS |
|
|
Pose Estimation (HP)
|
99% |
19386
22.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
10291
12.1 IPS |
|
|
Object Detection (SP)
|
100% |
587
46.6 IPS |
|
|
Object Detection (HP)
|
99% |
809
64.1 IPS |
|
|
Object Detection (Q)
|
87% |
663
53.2 IPS |
|
|
Face Detection (SP)
|
100% |
1816
21.6 IPS |
|
|
Face Detection (HP)
|
100% |
3037
36.1 IPS |
|
|
Face Detection (Q)
|
97% |
2818
33.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
2196
16.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
3385
26.2 IPS |
|
|
Depth Estimation (Q)
|
61% |
2386
23.5 IPS |
|
|
Style Transfer (SP)
|
100% |
5588
7.18 IPS |
|
|
Style Transfer (HP)
|
100% |
11787
15.2 IPS |
|
|
Style Transfer (Q)
|
98% |
11318
14.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1137
42.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2029
74.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2237
82.9 IPS |
|
|
Text Classification (SP)
|
35% |
27
267.2 IPS |
|
|
Text Classification (HP)
|
35% |
64
582.2 IPS |
|
|
Text Classification (Q)
|
33% |
49
588.0 IPS |
|
|
Machine Translation (SP)
|
100% |
587
10.1 IPS |
|
|
Machine Translation (HP)
|
97% |
466
8.06 IPS |
|
|
Machine Translation (Q)
|
43% |
126
7.17 IPS |
