Samsung Galaxy Z Flip5
Geekbench AI Score
1594
Single Precision Score
2392
Half Precision Score
1973
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | RolandFromHolland85 |
| Upload Date | September 26 2025 03:59 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | Qualcomm Snapdragon 8 Gen 2 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | Samsung Galaxy Z Flip5 |
| Model ID | samsung SM-F731B |
| 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 | 7.01 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1040
193.4 IPS |
|
|
Image Classification (HP)
|
100% |
1474
274.1 IPS |
|
|
Image Classification (Q)
|
99% |
1361
253.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2214
35.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
3875
62.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
3227
52.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
8434
9.84 IPS |
|
|
Pose Estimation (HP)
|
99% |
13101
15.3 IPS |
|
|
Pose Estimation (Q)
|
97% |
12842
15.0 IPS |
|
|
Object Detection (SP)
|
100% |
928
73.6 IPS |
|
|
Object Detection (HP)
|
99% |
1198
95.0 IPS |
|
|
Object Detection (Q)
|
82% |
1101
89.2 IPS |
|
|
Face Detection (SP)
|
100% |
3220
38.3 IPS |
|
|
Face Detection (HP)
|
100% |
5661
67.3 IPS |
|
|
Face Detection (Q)
|
97% |
4455
53.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
3610
27.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
5543
42.8 IPS |
|
|
Depth Estimation (Q)
|
63% |
4353
40.8 IPS |
|
|
Style Transfer (SP)
|
100% |
9376
12.1 IPS |
|
|
Style Transfer (HP)
|
100% |
19757
25.4 IPS |
|
|
Style Transfer (Q)
|
98% |
19058
24.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2007
74.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2933
108.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3020
111.9 IPS |
|
|
Text Classification (SP)
|
35% |
39
383.0 IPS |
|
|
Text Classification (HP)
|
35% |
49
449.2 IPS |
|
|
Text Classification (Q)
|
35% |
49
472.9 IPS |
|
|
Machine Translation (SP)
|
100% |
692
11.9 IPS |
|
|
Machine Translation (HP)
|
97% |
768
13.3 IPS |
|
|
Machine Translation (Q)
|
49% |
264
9.92 IPS |
