Samsung Galaxy Z Fold5
Geekbench AI Score
2154
Single Precision Score
2097
Half Precision Score
3391
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | April 15 2025 10:51 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Qualcomm Snapdragon 8 Gen 2 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | Samsung Galaxy Z Fold5 |
| Model ID | samsung SM-F946N |
| 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 | 10.87 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1769
329.0 IPS |
|
|
Image Classification (HP)
|
100% |
1721
320.1 IPS |
|
|
Image Classification (Q)
|
100% |
2783
517.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2084
33.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2002
32.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
3213
52.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
3015
3.52 IPS |
|
|
Pose Estimation (HP)
|
100% |
3015
3.52 IPS |
|
|
Pose Estimation (Q)
|
84% |
6878
8.16 IPS |
|
|
Object Detection (SP)
|
98% |
1676
133.4 IPS |
|
|
Object Detection (HP)
|
98% |
1653
131.6 IPS |
|
|
Object Detection (Q)
|
83% |
2605
210.4 IPS |
|
|
Face Detection (SP)
|
100% |
3266
38.8 IPS |
|
|
Face Detection (HP)
|
100% |
2882
34.2 IPS |
|
|
Face Detection (Q)
|
95% |
5786
69.1 IPS |
|
|
Depth Estimation (SP)
|
99% |
3214
24.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
3172
24.5 IPS |
|
|
Depth Estimation (Q)
|
64% |
5410
49.5 IPS |
|
|
Style Transfer (SP)
|
89% |
7230
9.39 IPS |
|
|
Style Transfer (HP)
|
89% |
7393
9.60 IPS |
|
|
Style Transfer (Q)
|
98% |
14371
18.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1434
52.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1468
54.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3331
123.4 IPS |
|
|
Text Classification (SP)
|
100% |
711
949.4 IPS |
|
|
Text Classification (HP)
|
99% |
653
871.5 IPS |
|
|
Text Classification (Q)
|
88% |
1109
1.50 KIPS |
|
|
Machine Translation (SP)
|
100% |
1492
25.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1483
25.5 IPS |
|
|
Machine Translation (Q)
|
50% |
756
26.9 IPS |
