Samsung Galaxy Z Fold5
Geekbench AI Score
358
Single Precision Score
359
Half Precision Score
740
Quantized Score
Geekbench AI 1.7.0 for Android AArch64
Result Information
| User | markerichannelly |
| Upload Date | March 03 2026 07:06 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| 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% |
290
53.9 IPS |
|
|
Image Classification (HP)
|
100% |
284
52.9 IPS |
|
|
Image Classification (Q)
|
99% |
706
131.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
344
5.58 IPS |
|
|
Image Segmentation (HP)
|
100% |
350
5.67 IPS |
|
|
Image Segmentation (Q)
|
98% |
728
11.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
466
0.54 IPS |
|
|
Pose Estimation (HP)
|
100% |
445
0.52 IPS |
|
|
Pose Estimation (Q)
|
98% |
1278
1.50 IPS |
|
|
Object Detection (SP)
|
100% |
187
14.8 IPS |
|
|
Object Detection (HP)
|
100% |
187
14.9 IPS |
|
|
Object Detection (Q)
|
87% |
492
39.5 IPS |
|
|
Face Detection (SP)
|
100% |
474
5.63 IPS |
|
|
Face Detection (HP)
|
100% |
477
5.67 IPS |
|
|
Face Detection (Q)
|
97% |
952
11.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
426
3.28 IPS |
|
|
Depth Estimation (HP)
|
99% |
427
3.29 IPS |
|
|
Depth Estimation (Q)
|
64% |
927
8.41 IPS |
|
|
Style Transfer (SP)
|
100% |
704
0.91 IPS |
|
|
Style Transfer (HP)
|
100% |
738
0.95 IPS |
|
|
Style Transfer (Q)
|
98% |
1727
2.23 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
219
8.08 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
217
8.02 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
748
27.7 IPS |
|
|
Text Classification (SP)
|
100% |
275
367.2 IPS |
|
|
Text Classification (HP)
|
100% |
293
391.4 IPS |
|
|
Text Classification (Q)
|
91% |
430
578.5 IPS |
|
|
Machine Translation (SP)
|
100% |
472
8.13 IPS |
|
|
Machine Translation (HP)
|
100% |
452
7.78 IPS |
|
|
Machine Translation (Q)
|
57% |
311
7.59 IPS |
