Samsung Galaxy Z Fold5
Geekbench AI Score
925
Single Precision Score
827
Half Precision Score
1489
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | markerichannelly |
| Upload Date | March 03 2026 01:07 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Qualcomm Snapdragon 8 Gen 2 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| Model | Samsung Galaxy Z Fold5 |
| Model ID | samsung SM-F946B |
| 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 | 10.88 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1010
187.7 IPS |
|
|
Image Classification (HP)
|
100% |
514
95.6 IPS |
|
|
Image Classification (Q)
|
100% |
1390
258.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
727
11.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
732
11.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
1733
28.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
1692
1.97 IPS |
|
|
Pose Estimation (HP)
|
100% |
1741
2.03 IPS |
|
|
Pose Estimation (Q)
|
84% |
3422
4.06 IPS |
|
|
Object Detection (SP)
|
98% |
684
54.4 IPS |
|
|
Object Detection (HP)
|
98% |
678
53.9 IPS |
|
|
Object Detection (Q)
|
83% |
1127
91.0 IPS |
|
|
Face Detection (SP)
|
100% |
1100
13.1 IPS |
|
|
Face Detection (HP)
|
100% |
1051
12.5 IPS |
|
|
Face Detection (Q)
|
95% |
1833
21.9 IPS |
|
|
Depth Estimation (SP)
|
99% |
1230
9.51 IPS |
|
|
Depth Estimation (HP)
|
99% |
1046
8.08 IPS |
|
|
Depth Estimation (Q)
|
64% |
2587
23.7 IPS |
|
|
Style Transfer (SP)
|
89% |
2652
3.44 IPS |
|
|
Style Transfer (HP)
|
89% |
2618
3.40 IPS |
|
|
Style Transfer (Q)
|
98% |
4958
6.39 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
616
22.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
729
26.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1320
48.9 IPS |
|
|
Text Classification (SP)
|
100% |
362
483.3 IPS |
|
|
Text Classification (HP)
|
99% |
235
313.5 IPS |
|
|
Text Classification (Q)
|
88% |
587
791.7 IPS |
|
|
Machine Translation (SP)
|
100% |
680
11.7 IPS |
|
|
Machine Translation (HP)
|
100% |
687
11.8 IPS |
|
|
Machine Translation (Q)
|
50% |
317
11.3 IPS |
