Samsung Galaxy Z Flip3
Geekbench AI Score
362
Single Precision Score
388
Half Precision Score
50
Quantized Score
Geekbench AI 1.6.1 for Android AArch64
Result Information
| User | Beamish |
| Upload Date | February 06 2026 09:39 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | Qualcomm Snapdragon 888 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | Samsung Galaxy Z Flip3 |
| Model ID | samsung SM-F711B |
| Motherboard | lahaina |
| Governor | schedutil |
| CPU Information | |
|---|---|
| Name | ARM SM8350 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3396 revision 0 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 4 Cores @ 1.80 GHz |
| Cluster 2 | 3 Cores @ 2.42 GHz |
| Cluster 3 | 1 Core @ 2.84 GHz |
| Memory Information | |
|---|---|
| Size | 7.22 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
525
97.7 IPS |
|
|
Image Classification (HP)
|
100% |
978
181.8 IPS |
|
|
Image Classification (Q)
|
94% |
17
3.21 IPS |
|
|
Image Segmentation (SP)
|
100% |
946
15.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1302
21.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
87
1.42 IPS |
|
|
Pose Estimation (SP)
|
100% |
1996
2.33 IPS |
|
|
Pose Estimation (HP)
|
100% |
5940
6.93 IPS |
|
|
Pose Estimation (Q)
|
98% |
256
0.30 IPS |
|
|
Object Detection (SP)
|
100% |
535
42.5 IPS |
|
|
Object Detection (HP)
|
99% |
920
73.0 IPS |
|
|
Object Detection (Q)
|
2% |
8
194.0 IPS |
|
|
Face Detection (SP)
|
100% |
1435
17.1 IPS |
|
|
Face Detection (HP)
|
100% |
80
0.95 IPS |
|
|
Face Detection (Q)
|
97% |
218
2.60 IPS |
|
|
Depth Estimation (SP)
|
100% |
179
1.38 IPS |
|
|
Depth Estimation (HP)
|
99% |
75
0.58 IPS |
|
|
Depth Estimation (Q)
|
5% |
34
57.9 IPS |
|
|
Style Transfer (SP)
|
100% |
672
0.86 IPS |
|
|
Style Transfer (HP)
|
100% |
134
0.17 IPS |
|
|
Style Transfer (Q)
|
18% |
9
0.51 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
994
36.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3109
114.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
256
9.50 IPS |
|
|
Text Classification (SP)
|
100% |
5
6.12 IPS |
|
|
Text Classification (HP)
|
100% |
52
69.1 IPS |
|
|
Text Classification (Q)
|
93% |
26
35.4 IPS |
|
|
Machine Translation (SP)
|
100% |
87
1.50 IPS |
|
|
Machine Translation (HP)
|
100% |
86
1.49 IPS |
|
|
Machine Translation (Q)
|
57% |
77
1.88 IPS |
