Samsung Galaxy Z Flip6
Geekbench AI Score
353
Single Precision Score
21817
Half Precision Score
49320
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | BengtC |
| Upload Date | April 19 2025 09:34 AM |
| Views | 4 |
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-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% |
325
60.3 IPS |
|
|
Image Classification (HP)
|
100% |
18439
3.43 KIPS |
|
|
Image Classification (Q)
|
97% |
42064
7.85 KIPS |
|
|
Image Segmentation (SP)
|
100% |
400
6.49 IPS |
|
|
Image Segmentation (HP)
|
100% |
11163
181.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
31455
511.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
543
0.63 IPS |
|
|
Pose Estimation (HP)
|
100% |
99936
116.6 IPS |
|
|
Pose Estimation (Q)
|
98% |
396890
464.5 IPS |
|
|
Object Detection (SP)
|
100% |
170
13.5 IPS |
|
|
Object Detection (HP)
|
100% |
15277
1.21 KIPS |
|
|
Object Detection (Q)
|
86% |
18938
1.52 KIPS |
|
|
Face Detection (SP)
|
100% |
442
5.26 IPS |
|
|
Face Detection (HP)
|
100% |
31701
376.7 IPS |
|
|
Face Detection (Q)
|
97% |
105443
1.26 KIPS |
|
|
Depth Estimation (SP)
|
100% |
398
3.07 IPS |
|
|
Depth Estimation (HP)
|
99% |
63211
487.0 IPS |
|
|
Depth Estimation (Q)
|
63% |
113743
1.07 KIPS |
|
|
Style Transfer (SP)
|
100% |
656
0.84 IPS |
|
|
Style Transfer (HP)
|
98% |
84900
109.5 IPS |
|
|
Style Transfer (Q)
|
98% |
421962
544.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
206
7.61 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
44065
1.63 KIPS |
|
|
Image Super-Resolution (Q)
|
97% |
103282
3.83 KIPS |
|
|
Text Classification (SP)
|
100% |
254
339.1 IPS |
|
|
Text Classification (HP)
|
100% |
3061
4.09 KIPS |
|
|
Text Classification (Q)
|
93% |
6723
9.02 KIPS |
|
|
Machine Translation (SP)
|
100% |
424
7.31 IPS |
|
|
Machine Translation (HP)
|
100% |
3388
58.4 IPS |
|
|
Machine Translation (Q)
|
55% |
2437
63.9 IPS |
