Samsung Galaxy Z Flip3
Geekbench AI Score
856
Single Precision Score
1391
Half Precision Score
1226
Quantized Score
Geekbench AI 1.6.1 for Android AArch64
Result Information
| User | Beamish |
| Upload Date | February 05 2026 07:55 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | Qualcomm Snapdragon 888 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| 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% |
459
85.4 IPS |
|
|
Image Classification (HP)
|
100% |
743
138.1 IPS |
|
|
Image Classification (Q)
|
99% |
656
122.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
781
12.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1354
22.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
1209
19.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
4698
5.48 IPS |
|
|
Pose Estimation (HP)
|
99% |
7876
9.19 IPS |
|
|
Pose Estimation (Q)
|
97% |
7750
9.08 IPS |
|
|
Object Detection (SP)
|
100% |
643
51.0 IPS |
|
|
Object Detection (HP)
|
99% |
943
74.8 IPS |
|
|
Object Detection (Q)
|
85% |
827
66.5 IPS |
|
|
Face Detection (SP)
|
100% |
1899
22.6 IPS |
|
|
Face Detection (HP)
|
100% |
3447
41.0 IPS |
|
|
Face Detection (Q)
|
97% |
2697
32.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
1949
15.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
2962
22.9 IPS |
|
|
Depth Estimation (Q)
|
63% |
2424
22.4 IPS |
|
|
Style Transfer (SP)
|
100% |
4440
5.71 IPS |
|
|
Style Transfer (HP)
|
100% |
9988
12.8 IPS |
|
|
Style Transfer (Q)
|
98% |
9819
12.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1086
40.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1717
63.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1511
56.0 IPS |
|
|
Text Classification (SP)
|
35% |
27
266.9 IPS |
|
|
Text Classification (HP)
|
35% |
43
391.3 IPS |
|
|
Text Classification (Q)
|
35% |
43
388.9 IPS |
|
|
Machine Translation (SP)
|
100% |
406
6.99 IPS |
|
|
Machine Translation (HP)
|
97% |
485
8.38 IPS |
|
|
Machine Translation (Q)
|
64% |
362
7.43 IPS |
