Samsung Galaxy Z Flip6
Geekbench AI Score
519
Single Precision Score
22684
Half Precision Score
51523
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| User | Babi_wd |
| Upload Date | July 10 2025 06:40 PM |
| Views | 7 |
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% |
322
59.9 IPS |
|
|
Image Classification (HP)
|
100% |
18268
3.40 KIPS |
|
|
Image Classification (Q)
|
97% |
42126
7.86 KIPS |
|
|
Image Segmentation (SP)
|
100% |
405
6.57 IPS |
|
|
Image Segmentation (HP)
|
100% |
11102
180.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
31686
515.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
545
0.64 IPS |
|
|
Pose Estimation (HP)
|
100% |
100641
117.4 IPS |
|
|
Pose Estimation (Q)
|
98% |
398572
466.5 IPS |
|
|
Object Detection (SP)
|
100% |
306
24.3 IPS |
|
|
Object Detection (HP)
|
100% |
16605
1.32 KIPS |
|
|
Object Detection (Q)
|
86% |
20768
1.67 KIPS |
|
|
Face Detection (SP)
|
100% |
771
9.16 IPS |
|
|
Face Detection (HP)
|
100% |
35328
419.8 IPS |
|
|
Face Detection (Q)
|
97% |
125445
1.50 KIPS |
|
|
Depth Estimation (SP)
|
100% |
670
5.16 IPS |
|
|
Depth Estimation (HP)
|
99% |
64428
496.4 IPS |
|
|
Depth Estimation (Q)
|
63% |
117866
1.10 KIPS |
|
|
Style Transfer (SP)
|
100% |
1062
1.37 IPS |
|
|
Style Transfer (HP)
|
98% |
85576
110.3 IPS |
|
|
Style Transfer (Q)
|
98% |
422519
544.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
361
13.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
46097
1.70 KIPS |
|
|
Image Super-Resolution (Q)
|
97% |
103733
3.84 KIPS |
|
|
Text Classification (SP)
|
100% |
449
599.8 IPS |
|
|
Text Classification (HP)
|
100% |
3107
4.15 KIPS |
|
|
Text Classification (Q)
|
93% |
6899
9.26 KIPS |
|
|
Machine Translation (SP)
|
100% |
737
12.7 IPS |
|
|
Machine Translation (HP)
|
100% |
3817
65.7 IPS |
|
|
Machine Translation (Q)
|
55% |
2669
69.9 IPS |
