Samsung Galaxy Z Flip3
Geekbench AI Score
576
Single Precision Score
604
Half Precision Score
598
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 10 2025 03:02 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | Qualcomm Snapdragon 888 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | Samsung Galaxy Z Flip3 |
| Model ID | samsung SM-F711N |
| 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 | 7.21 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
398
74.0 IPS |
|
|
Image Classification (HP)
|
100% |
368
68.4 IPS |
|
|
Image Classification (Q)
|
97% |
378
70.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
740
12.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
963
15.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
854
13.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
726
0.85 IPS |
|
|
Pose Estimation (HP)
|
100% |
362
0.42 IPS |
|
|
Pose Estimation (Q)
|
95% |
323
0.38 IPS |
|
|
Object Detection (SP)
|
100% |
279
22.1 IPS |
|
|
Object Detection (HP)
|
100% |
285
22.6 IPS |
|
|
Object Detection (Q)
|
89% |
294
23.6 IPS |
|
|
Face Detection (SP)
|
100% |
1203
14.3 IPS |
|
|
Face Detection (HP)
|
100% |
1656
19.7 IPS |
|
|
Face Detection (Q)
|
97% |
1560
18.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
825
6.35 IPS |
|
|
Depth Estimation (HP)
|
99% |
1017
7.86 IPS |
|
|
Depth Estimation (Q)
|
62% |
751
7.11 IPS |
|
|
Style Transfer (SP)
|
100% |
1619
2.08 IPS |
|
|
Style Transfer (HP)
|
100% |
2446
3.14 IPS |
|
|
Style Transfer (Q)
|
98% |
2419
3.12 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
318
11.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
349
12.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
350
13.0 IPS |
|
|
Text Classification (SP)
|
100% |
292
390.0 IPS |
|
|
Text Classification (HP)
|
100% |
292
389.4 IPS |
|
|
Text Classification (Q)
|
91% |
545
732.1 IPS |
|
|
Machine Translation (SP)
|
100% |
454
7.82 IPS |
|
|
Machine Translation (HP)
|
100% |
425
7.31 IPS |
|
|
Machine Translation (Q)
|
57% |
355
8.68 IPS |
