Samsung Galaxy Z Flip6
Geekbench AI Score
344
Single Precision Score
331
Half Precision Score
714
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | BengtC |
| Upload Date | April 19 2025 09:23 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| 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% |
315
58.6 IPS |
|
|
Image Classification (HP)
|
100% |
310
57.6 IPS |
|
|
Image Classification (Q)
|
99% |
805
150.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
392
6.36 IPS |
|
|
Image Segmentation (HP)
|
100% |
373
6.04 IPS |
|
|
Image Segmentation (Q)
|
98% |
684
11.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
453
0.53 IPS |
|
|
Pose Estimation (HP)
|
100% |
316
0.37 IPS |
|
|
Pose Estimation (Q)
|
98% |
1151
1.35 IPS |
|
|
Object Detection (SP)
|
100% |
171
13.6 IPS |
|
|
Object Detection (HP)
|
100% |
171
13.6 IPS |
|
|
Object Detection (Q)
|
87% |
470
37.7 IPS |
|
|
Face Detection (SP)
|
100% |
444
5.27 IPS |
|
|
Face Detection (HP)
|
100% |
448
5.33 IPS |
|
|
Face Detection (Q)
|
97% |
980
11.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
398
3.07 IPS |
|
|
Depth Estimation (HP)
|
99% |
401
3.09 IPS |
|
|
Depth Estimation (Q)
|
64% |
865
7.85 IPS |
|
|
Style Transfer (SP)
|
100% |
656
0.84 IPS |
|
|
Style Transfer (HP)
|
100% |
654
0.84 IPS |
|
|
Style Transfer (Q)
|
98% |
1562
2.01 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
207
7.63 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
206
7.59 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
667
24.7 IPS |
|
|
Text Classification (SP)
|
100% |
246
328.9 IPS |
|
|
Text Classification (HP)
|
100% |
247
329.7 IPS |
|
|
Text Classification (Q)
|
91% |
400
537.2 IPS |
|
|
Machine Translation (SP)
|
100% |
422
7.28 IPS |
|
|
Machine Translation (HP)
|
100% |
425
7.32 IPS |
|
|
Machine Translation (Q)
|
57% |
330
8.06 IPS |
