Samsung Galaxy Z Fold5
Geekbench AI Score
610
Single Precision Score
570
Half Precision Score
1091
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 15 2025 02:11 PM |
| Views | 1 |
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% |
405
75.3 IPS |
|
|
Image Classification (HP)
|
100% |
402
74.8 IPS |
|
|
Image Classification (Q)
|
100% |
1010
187.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
420
6.81 IPS |
|
|
Image Segmentation (HP)
|
100% |
657
10.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
1161
18.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
1250
1.46 IPS |
|
|
Pose Estimation (HP)
|
100% |
1033
1.21 IPS |
|
|
Pose Estimation (Q)
|
84% |
2195
2.60 IPS |
|
|
Object Detection (SP)
|
98% |
318
25.3 IPS |
|
|
Object Detection (HP)
|
98% |
235
18.7 IPS |
|
|
Object Detection (Q)
|
83% |
766
61.9 IPS |
|
|
Face Detection (SP)
|
100% |
719
8.54 IPS |
|
|
Face Detection (HP)
|
100% |
703
8.36 IPS |
|
|
Face Detection (Q)
|
95% |
1498
17.9 IPS |
|
|
Depth Estimation (SP)
|
99% |
901
6.96 IPS |
|
|
Depth Estimation (HP)
|
99% |
871
6.73 IPS |
|
|
Depth Estimation (Q)
|
64% |
1708
15.6 IPS |
|
|
Style Transfer (SP)
|
89% |
1940
2.52 IPS |
|
|
Style Transfer (HP)
|
89% |
2011
2.61 IPS |
|
|
Style Transfer (Q)
|
98% |
4448
5.74 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
495
18.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
493
18.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1206
44.7 IPS |
|
|
Text Classification (SP)
|
100% |
229
306.3 IPS |
|
|
Text Classification (HP)
|
99% |
241
321.4 IPS |
|
|
Text Classification (Q)
|
88% |
358
483.3 IPS |
|
|
Machine Translation (SP)
|
100% |
749
12.9 IPS |
|
|
Machine Translation (HP)
|
100% |
388
6.68 IPS |
|
|
Machine Translation (Q)
|
50% |
247
8.76 IPS |
