Samsung Galaxy Z Fold5
Geekbench AI Score
1717
Single Precision Score
2683
Half Precision Score
2311
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | markerichannelly |
| Upload Date | March 03 2026 01:09 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
1096
203.9 IPS |
|
|
Image Classification (HP)
|
100% |
1699
316.0 IPS |
|
|
Image Classification (Q)
|
99% |
1486
277.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2297
37.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
4112
66.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
3708
60.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
8518
9.94 IPS |
|
|
Pose Estimation (HP)
|
99% |
15499
18.1 IPS |
|
|
Pose Estimation (Q)
|
97% |
15221
17.8 IPS |
|
|
Object Detection (SP)
|
100% |
1023
81.2 IPS |
|
|
Object Detection (HP)
|
99% |
1186
94.0 IPS |
|
|
Object Detection (Q)
|
82% |
1206
97.7 IPS |
|
|
Face Detection (SP)
|
100% |
3161
37.6 IPS |
|
|
Face Detection (HP)
|
100% |
5877
69.8 IPS |
|
|
Face Detection (Q)
|
97% |
5377
64.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
4216
32.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
6578
50.8 IPS |
|
|
Depth Estimation (Q)
|
63% |
5163
48.4 IPS |
|
|
Style Transfer (SP)
|
100% |
11054
14.2 IPS |
|
|
Style Transfer (HP)
|
100% |
23592
30.3 IPS |
|
|
Style Transfer (Q)
|
98% |
23958
30.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2022
74.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2965
109.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3168
117.4 IPS |
|
|
Text Classification (SP)
|
35% |
42
411.5 IPS |
|
|
Text Classification (HP)
|
35% |
58
529.1 IPS |
|
|
Text Classification (Q)
|
35% |
65
629.6 IPS |
|
|
Machine Translation (SP)
|
100% |
814
14.0 IPS |
|
|
Machine Translation (HP)
|
97% |
961
16.6 IPS |
|
|
Machine Translation (Q)
|
49% |
315
11.8 IPS |
