Samsung Galaxy Z Flip3
Geekbench AI Score
337
Single Precision Score
310
Half Precision Score
635
Quantized Score
Geekbench AI 1.0.0 for Android AArch64
Result Information
| Upload Date | August 22 2024 01:45 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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% |
178
33.0 IPS |
|
|
Image Classification (HP)
|
100% |
179
33.3 IPS |
|
|
Image Classification (Q)
|
100% |
521
96.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
224
3.63 IPS |
|
|
Image Segmentation (HP)
|
100% |
185
3.00 IPS |
|
|
Image Segmentation (Q)
|
98% |
608
9.89 IPS |
|
|
Pose Estimation (SP)
|
100% |
646
0.75 IPS |
|
|
Pose Estimation (HP)
|
100% |
627
0.73 IPS |
|
|
Pose Estimation (Q)
|
84% |
1075
1.27 IPS |
|
|
Object Detection (SP)
|
100% |
165
13.1 IPS |
|
|
Object Detection (HP)
|
100% |
166
13.2 IPS |
|
|
Object Detection (Q)
|
87% |
474
38.1 IPS |
|
|
Face Detection (SP)
|
100% |
372
4.42 IPS |
|
|
Face Detection (HP)
|
100% |
372
4.42 IPS |
|
|
Face Detection (Q)
|
95% |
918
11.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
847
6.52 IPS |
|
|
Depth Estimation (HP)
|
100% |
515
3.97 IPS |
|
|
Depth Estimation (Q)
|
75% |
1140
9.24 IPS |
|
|
Style Transfer (SP)
|
89% |
1134
1.47 IPS |
|
|
Style Transfer (HP)
|
89% |
1114
1.45 IPS |
|
|
Style Transfer (Q)
|
98% |
2472
3.19 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
311
11.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
292
10.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
625
23.1 IPS |
|
|
Text Classification (SP)
|
100% |
164
218.6 IPS |
|
|
Text Classification (HP)
|
100% |
163
217.2 IPS |
|
|
Text Classification (Q)
|
88% |
266
359.0 IPS |
|
|
Machine Translation (SP)
|
100% |
245
4.22 IPS |
|
|
Machine Translation (HP)
|
100% |
240
4.14 IPS |
|
|
Machine Translation (Q)
|
50% |
155
5.52 IPS |
