Samsung Galaxy Z Flip6
Geekbench AI Score
1737
Single Precision Score
1753
Half Precision Score
2585
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | October 26 2025 02:31 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Qualcomm Snapdragon 8 Gen 3 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| Model | Samsung Galaxy Z Flip6 |
| Model ID | samsung SM-F741U1 |
| 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 | 10.85 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1669
310.3 IPS |
|
|
Image Classification (HP)
|
100% |
1803
335.3 IPS |
|
|
Image Classification (Q)
|
100% |
3609
671.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2425
39.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2511
40.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
3768
61.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
3403
3.97 IPS |
|
|
Pose Estimation (HP)
|
100% |
2776
3.24 IPS |
|
|
Pose Estimation (Q)
|
84% |
5952
7.06 IPS |
|
|
Object Detection (SP)
|
98% |
1115
88.7 IPS |
|
|
Object Detection (HP)
|
98% |
1080
85.9 IPS |
|
|
Object Detection (Q)
|
83% |
1430
115.5 IPS |
|
|
Face Detection (SP)
|
100% |
2422
28.8 IPS |
|
|
Face Detection (HP)
|
100% |
2348
27.9 IPS |
|
|
Face Detection (Q)
|
95% |
3480
41.5 IPS |
|
|
Depth Estimation (SP)
|
99% |
1831
14.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
2346
18.1 IPS |
|
|
Depth Estimation (Q)
|
64% |
3557
32.6 IPS |
|
|
Style Transfer (SP)
|
89% |
5816
7.55 IPS |
|
|
Style Transfer (HP)
|
89% |
5871
7.62 IPS |
|
|
Style Transfer (Q)
|
98% |
10841
14.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1209
44.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1189
43.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2653
98.3 IPS |
|
|
Text Classification (SP)
|
100% |
500
666.7 IPS |
|
|
Text Classification (HP)
|
99% |
499
666.5 IPS |
|
|
Text Classification (Q)
|
88% |
767
1.03 KIPS |
|
|
Machine Translation (SP)
|
100% |
1050
18.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1058
18.2 IPS |
|
|
Machine Translation (Q)
|
50% |
422
15.0 IPS |
