Samsung Galaxy Z Fold5
Geekbench AI Score
1791
Single Precision Score
2782
Half Precision Score
2346
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | December 12 2025 10:52 PM |
| Views | 5 |
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% |
1039
193.3 IPS |
|
|
Image Classification (HP)
|
100% |
1519
282.4 IPS |
|
|
Image Classification (Q)
|
99% |
1567
292.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2198
35.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
3883
62.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
3121
50.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
8517
9.94 IPS |
|
|
Pose Estimation (HP)
|
99% |
15426
18.1 IPS |
|
|
Pose Estimation (Q)
|
97% |
15096
17.7 IPS |
|
|
Object Detection (SP)
|
100% |
1038
82.3 IPS |
|
|
Object Detection (HP)
|
99% |
1597
126.7 IPS |
|
|
Object Detection (Q)
|
82% |
1508
122.1 IPS |
|
|
Face Detection (SP)
|
100% |
3918
46.5 IPS |
|
|
Face Detection (HP)
|
100% |
6525
77.5 IPS |
|
|
Face Detection (Q)
|
97% |
5281
63.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
4393
33.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
6409
49.5 IPS |
|
|
Depth Estimation (Q)
|
63% |
5111
47.9 IPS |
|
|
Style Transfer (SP)
|
100% |
11147
14.3 IPS |
|
|
Style Transfer (HP)
|
100% |
23567
30.3 IPS |
|
|
Style Transfer (Q)
|
98% |
22921
29.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2299
84.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3488
128.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3599
133.4 IPS |
|
|
Text Classification (SP)
|
35% |
49
473.3 IPS |
|
|
Text Classification (HP)
|
35% |
66
601.5 IPS |
|
|
Text Classification (Q)
|
35% |
60
588.6 IPS |
|
|
Machine Translation (SP)
|
100% |
782
13.5 IPS |
|
|
Machine Translation (HP)
|
97% |
843
14.6 IPS |
|
|
Machine Translation (Q)
|
49% |
340
12.8 IPS |
