Samsung Galaxy Z Flip6
Geekbench AI Score
353
Single Precision Score
21803
Half Precision Score
49195
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | July 09 2025 08:46 AM |
| Views | 3 |
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% |
325
60.4 IPS |
|
|
Image Classification (HP)
|
100% |
18555
3.45 KIPS |
|
|
Image Classification (Q)
|
97% |
42106
7.86 KIPS |
|
|
Image Segmentation (SP)
|
100% |
407
6.60 IPS |
|
|
Image Segmentation (HP)
|
100% |
11156
180.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
31701
515.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
541
0.63 IPS |
|
|
Pose Estimation (HP)
|
100% |
99986
116.7 IPS |
|
|
Pose Estimation (Q)
|
98% |
396788
464.4 IPS |
|
|
Object Detection (SP)
|
100% |
169
13.4 IPS |
|
|
Object Detection (HP)
|
100% |
15278
1.21 KIPS |
|
|
Object Detection (Q)
|
86% |
19026
1.53 KIPS |
|
|
Face Detection (SP)
|
100% |
446
5.30 IPS |
|
|
Face Detection (HP)
|
100% |
31137
370.0 IPS |
|
|
Face Detection (Q)
|
97% |
100927
1.20 KIPS |
|
|
Depth Estimation (SP)
|
100% |
393
3.03 IPS |
|
|
Depth Estimation (HP)
|
99% |
63216
487.0 IPS |
|
|
Depth Estimation (Q)
|
63% |
113375
1.06 KIPS |
|
|
Style Transfer (SP)
|
100% |
653
0.84 IPS |
|
|
Style Transfer (HP)
|
98% |
85007
109.6 IPS |
|
|
Style Transfer (Q)
|
98% |
422360
544.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
206
7.62 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
44080
1.63 KIPS |
|
|
Image Super-Resolution (Q)
|
97% |
103569
3.84 KIPS |
|
|
Text Classification (SP)
|
100% |
254
339.2 IPS |
|
|
Text Classification (HP)
|
100% |
3071
4.10 KIPS |
|
|
Text Classification (Q)
|
93% |
6720
9.02 KIPS |
|
|
Machine Translation (SP)
|
100% |
426
7.34 IPS |
|
|
Machine Translation (HP)
|
100% |
3390
58.4 IPS |
|
|
Machine Translation (Q)
|
55% |
2450
64.2 IPS |
