Samsung Galaxy Z Flip3
Geekbench AI Score
276
Single Precision Score
276
Half Precision Score
14271
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | Luk30002as |
| Upload Date | May 18 2025 03:19 PM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | QNN |
| 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% |
172
32.0 IPS |
|
|
Image Classification (HP)
|
100% |
168
31.3 IPS |
|
|
Image Classification (Q)
|
99% |
10382
1.94 KIPS |
|
|
Image Segmentation (SP)
|
100% |
215
3.48 IPS |
|
|
Image Segmentation (HP)
|
100% |
216
3.50 IPS |
|
|
Image Segmentation (Q)
|
98% |
10744
174.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
294
0.34 IPS |
|
|
Pose Estimation (HP)
|
100% |
293
0.34 IPS |
|
|
Pose Estimation (Q)
|
94% |
97154
113.9 IPS |
|
|
Object Detection (SP)
|
100% |
166
13.2 IPS |
|
|
Object Detection (HP)
|
100% |
167
13.2 IPS |
|
|
Object Detection (Q)
|
88% |
5971
478.3 IPS |
|
|
Face Detection (SP)
|
100% |
397
4.71 IPS |
|
|
Face Detection (HP)
|
100% |
400
4.75 IPS |
|
|
Face Detection (Q)
|
97% |
30829
367.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
354
2.72 IPS |
|
|
Depth Estimation (HP)
|
99% |
356
2.74 IPS |
|
|
Depth Estimation (Q)
|
64% |
33857
311.7 IPS |
|
|
Style Transfer (SP)
|
100% |
586
0.75 IPS |
|
|
Style Transfer (HP)
|
100% |
587
0.75 IPS |
|
|
Style Transfer (Q)
|
98% |
134584
173.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
179
6.62 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
179
6.62 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
30867
1.14 KIPS |
|
|
Text Classification (SP)
|
100% |
256
341.5 IPS |
|
|
Text Classification (HP)
|
100% |
256
341.4 IPS |
|
|
Text Classification (Q)
|
94% |
2716
3.64 KIPS |
|
|
Machine Translation (SP)
|
100% |
389
6.70 IPS |
|
|
Machine Translation (HP)
|
100% |
389
6.71 IPS |
|
|
Machine Translation (Q)
|
50% |
460
15.9 IPS |
