Samsung Galaxy Z Flip5
Geekbench AI Score
460
Single Precision Score
616
Half Precision Score
602
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | November 23 2024 09:09 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | Qualcomm Snapdragon 8 Gen 2 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | Samsung Galaxy Z Flip5 |
| Model ID | samsung SM-F731U1 |
| Motherboard | kalama |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3406 revision 0 |
| Base Frequency | 2.02 GHz |
| Cluster 1 | 3 Cores @ 2.02 GHz |
| Cluster 2 | 4 Cores @ 2.80 GHz |
| Cluster 3 | 1 Core @ 3.36 GHz |
| Memory Information | |
|---|---|
| Size | 6.99 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
669
124.4 IPS |
|
|
Image Classification (HP)
|
100% |
944
175.6 IPS |
|
|
Image Classification (Q)
|
96% |
824
153.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1354
21.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1154
18.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
859
14.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
415
0.48 IPS |
|
|
Pose Estimation (HP)
|
100% |
634
0.74 IPS |
|
|
Pose Estimation (Q)
|
96% |
627
0.74 IPS |
|
|
Object Detection (SP)
|
100% |
216
17.1 IPS |
|
|
Object Detection (HP)
|
100% |
355
28.1 IPS |
|
|
Object Detection (Q)
|
87% |
381
30.6 IPS |
|
|
Face Detection (SP)
|
100% |
1029
12.2 IPS |
|
|
Face Detection (HP)
|
100% |
1640
19.5 IPS |
|
|
Face Detection (Q)
|
97% |
1519
18.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
631
4.86 IPS |
|
|
Depth Estimation (HP)
|
99% |
1223
9.45 IPS |
|
|
Depth Estimation (Q)
|
63% |
1005
9.32 IPS |
|
|
Style Transfer (SP)
|
100% |
1581
2.03 IPS |
|
|
Style Transfer (HP)
|
100% |
3638
4.68 IPS |
|
|
Style Transfer (Q)
|
98% |
3594
4.63 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
202
7.45 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
172
6.33 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
180
6.67 IPS |
|
|
Text Classification (SP)
|
100% |
113
150.7 IPS |
|
|
Text Classification (HP)
|
100% |
113
151.2 IPS |
|
|
Text Classification (Q)
|
91% |
188
253.1 IPS |
|
|
Machine Translation (SP)
|
100% |
227
3.91 IPS |
|
|
Machine Translation (HP)
|
100% |
228
3.92 IPS |
|
|
Machine Translation (Q)
|
57% |
201
4.92 IPS |
