Samsung Galaxy Z Flip3
Geekbench AI Score
216
Single Precision Score
217
Half Precision Score
14599
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | Beamish |
| Upload Date | December 12 2025 05:01 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | QNN |
| Device | Qualcomm Snapdragon 888 |
| System Information | |
|---|---|
| Operating System | Android 13 |
| 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% |
129
24.0 IPS |
|
|
Image Classification (HP)
|
100% |
130
24.2 IPS |
|
|
Image Classification (Q)
|
99% |
11302
2.11 KIPS |
|
|
Image Segmentation (SP)
|
100% |
167
2.71 IPS |
|
|
Image Segmentation (HP)
|
100% |
168
2.73 IPS |
|
|
Image Segmentation (Q)
|
98% |
10911
177.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
225
0.26 IPS |
|
|
Pose Estimation (HP)
|
100% |
229
0.27 IPS |
|
|
Pose Estimation (Q)
|
94% |
99294
116.4 IPS |
|
|
Object Detection (SP)
|
100% |
128
10.1 IPS |
|
|
Object Detection (HP)
|
100% |
129
10.2 IPS |
|
|
Object Detection (Q)
|
88% |
6103
488.9 IPS |
|
|
Face Detection (SP)
|
100% |
324
3.85 IPS |
|
|
Face Detection (HP)
|
100% |
327
3.88 IPS |
|
|
Face Detection (Q)
|
97% |
28846
343.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
282
2.18 IPS |
|
|
Depth Estimation (HP)
|
99% |
283
2.18 IPS |
|
|
Depth Estimation (Q)
|
64% |
35042
322.6 IPS |
|
|
Style Transfer (SP)
|
100% |
472
0.61 IPS |
|
|
Style Transfer (HP)
|
100% |
473
0.61 IPS |
|
|
Style Transfer (Q)
|
98% |
139585
180.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
140
5.16 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
141
5.19 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
31596
1.17 KIPS |
|
|
Text Classification (SP)
|
100% |
196
261.2 IPS |
|
|
Text Classification (HP)
|
100% |
195
259.9 IPS |
|
|
Text Classification (Q)
|
94% |
2570
3.45 KIPS |
|
|
Machine Translation (SP)
|
100% |
308
5.31 IPS |
|
|
Machine Translation (HP)
|
100% |
308
5.31 IPS |
|
|
Machine Translation (Q)
|
50% |
514
17.8 IPS |
