Samsung Galaxy Z Flip6
Geekbench AI Score
1841
Single Precision Score
1840
Half Precision Score
2617
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | August 31 2025 07:31 PM |
| Views | 9 |
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% |
1617
300.8 IPS |
|
|
Image Classification (HP)
|
100% |
1634
303.9 IPS |
|
|
Image Classification (Q)
|
100% |
2396
445.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1820
29.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1781
28.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
2776
45.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
3011
3.51 IPS |
|
|
Pose Estimation (HP)
|
100% |
2977
3.47 IPS |
|
|
Pose Estimation (Q)
|
84% |
6257
7.42 IPS |
|
|
Object Detection (SP)
|
98% |
1327
105.6 IPS |
|
|
Object Detection (HP)
|
98% |
1321
105.1 IPS |
|
|
Object Detection (Q)
|
83% |
1799
145.3 IPS |
|
|
Face Detection (SP)
|
100% |
2529
30.0 IPS |
|
|
Face Detection (HP)
|
100% |
2625
31.2 IPS |
|
|
Face Detection (Q)
|
95% |
3954
47.2 IPS |
|
|
Depth Estimation (SP)
|
99% |
2695
20.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
2658
20.5 IPS |
|
|
Depth Estimation (Q)
|
64% |
4106
37.6 IPS |
|
|
Style Transfer (SP)
|
89% |
6376
8.28 IPS |
|
|
Style Transfer (HP)
|
89% |
6338
8.23 IPS |
|
|
Style Transfer (Q)
|
98% |
11721
15.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1327
49.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1359
50.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2917
108.1 IPS |
|
|
Text Classification (SP)
|
100% |
548
732.1 IPS |
|
|
Text Classification (HP)
|
99% |
543
724.2 IPS |
|
|
Text Classification (Q)
|
88% |
755
1.02 KIPS |
|
|
Machine Translation (SP)
|
100% |
1205
20.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1192
20.5 IPS |
|
|
Machine Translation (Q)
|
50% |
481
17.1 IPS |
