Samsung Galaxy Z Flip6
Geekbench AI Score
276
Single Precision Score
21126
Half Precision Score
47248
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 10 2025 01:17 AM |
| Views | 1 |
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-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% |
166
30.9 IPS |
|
|
Image Classification (HP)
|
100% |
16533
3.07 KIPS |
|
|
Image Classification (Q)
|
97% |
36453
6.80 KIPS |
|
|
Image Segmentation (SP)
|
100% |
219
3.55 IPS |
|
|
Image Segmentation (HP)
|
100% |
10538
170.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
28984
471.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
328
0.38 IPS |
|
|
Pose Estimation (HP)
|
100% |
99112
115.6 IPS |
|
|
Pose Estimation (Q)
|
98% |
396314
463.9 IPS |
|
|
Object Detection (SP)
|
100% |
176
14.0 IPS |
|
|
Object Detection (HP)
|
100% |
14799
1.17 KIPS |
|
|
Object Detection (Q)
|
86% |
18766
1.51 KIPS |
|
|
Face Detection (SP)
|
100% |
436
5.18 IPS |
|
|
Face Detection (HP)
|
100% |
30532
362.8 IPS |
|
|
Face Detection (Q)
|
97% |
97897
1.17 KIPS |
|
|
Depth Estimation (SP)
|
100% |
361
2.78 IPS |
|
|
Depth Estimation (HP)
|
99% |
59910
461.6 IPS |
|
|
Depth Estimation (Q)
|
63% |
103855
972.5 IPS |
|
|
Style Transfer (SP)
|
100% |
556
0.71 IPS |
|
|
Style Transfer (HP)
|
98% |
84727
109.3 IPS |
|
|
Style Transfer (Q)
|
98% |
420773
542.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
177
6.55 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
43937
1.62 KIPS |
|
|
Image Super-Resolution (Q)
|
97% |
103067
3.82 KIPS |
|
|
Text Classification (SP)
|
100% |
220
293.0 IPS |
|
|
Text Classification (HP)
|
100% |
3059
4.08 KIPS |
|
|
Text Classification (Q)
|
93% |
6710
9.01 KIPS |
|
|
Machine Translation (SP)
|
100% |
371
6.38 IPS |
|
|
Machine Translation (HP)
|
100% |
3328
57.3 IPS |
|
|
Machine Translation (Q)
|
55% |
2385
62.5 IPS |
