Samsung Galaxy Z Flip6
Geekbench AI Score
2256
Single Precision Score
2229
Half Precision Score
3187
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | BengtC |
| Upload Date | April 19 2025 08:57 AM |
| Views | 6 |
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% |
2410
448.1 IPS |
|
|
Image Classification (HP)
|
100% |
2459
457.3 IPS |
|
|
Image Classification (Q)
|
100% |
3558
661.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2740
44.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2753
44.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
4261
69.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
4444
5.19 IPS |
|
|
Pose Estimation (HP)
|
100% |
4132
4.82 IPS |
|
|
Pose Estimation (Q)
|
84% |
6684
7.93 IPS |
|
|
Object Detection (SP)
|
98% |
1506
119.8 IPS |
|
|
Object Detection (HP)
|
98% |
1488
118.4 IPS |
|
|
Object Detection (Q)
|
83% |
1926
155.5 IPS |
|
|
Face Detection (SP)
|
100% |
2992
35.5 IPS |
|
|
Face Detection (HP)
|
100% |
3063
36.4 IPS |
|
|
Face Detection (Q)
|
95% |
4656
55.6 IPS |
|
|
Depth Estimation (SP)
|
99% |
2752
21.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
2771
21.4 IPS |
|
|
Depth Estimation (Q)
|
64% |
4684
42.9 IPS |
|
|
Style Transfer (SP)
|
89% |
7324
9.51 IPS |
|
|
Style Transfer (HP)
|
89% |
7169
9.31 IPS |
|
|
Style Transfer (Q)
|
98% |
13512
17.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1423
52.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1490
55.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3389
125.6 IPS |
|
|
Text Classification (SP)
|
100% |
633
845.4 IPS |
|
|
Text Classification (HP)
|
99% |
586
782.5 IPS |
|
|
Text Classification (Q)
|
88% |
882
1.19 KIPS |
|
|
Machine Translation (SP)
|
100% |
1426
24.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1375
23.7 IPS |
|
|
Machine Translation (Q)
|
50% |
630
22.4 IPS |
