Samsung Galaxy Z Fold4
Geekbench AI Score
1337
Single Precision Score
1285
Half Precision Score
1766
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | August 29 2025 11:53 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Qualcomm Snapdragon 8+ Gen 1 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | Samsung Galaxy Z Fold4 |
| Model ID | samsung SM-F936B |
| Motherboard | taro |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 2 part 3400 revision 0 |
| Base Frequency | 2.02 GHz |
| Cluster 1 | 4 Cores @ 2.02 GHz |
| Cluster 2 | 3 Cores @ 2.75 GHz |
| Cluster 3 | 1 Core @ 3.19 GHz |
| Memory Information | |
|---|---|
| Size | 10.99 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1209
224.9 IPS |
|
|
Image Classification (HP)
|
100% |
1028
191.2 IPS |
|
|
Image Classification (Q)
|
100% |
1377
256.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1038
16.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1027
16.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
1497
24.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
1987
2.32 IPS |
|
|
Pose Estimation (HP)
|
100% |
1870
2.18 IPS |
|
|
Pose Estimation (Q)
|
84% |
3585
4.25 IPS |
|
|
Object Detection (SP)
|
98% |
973
77.4 IPS |
|
|
Object Detection (HP)
|
98% |
982
78.1 IPS |
|
|
Object Detection (Q)
|
83% |
1208
97.6 IPS |
|
|
Face Detection (SP)
|
100% |
1804
21.4 IPS |
|
|
Face Detection (HP)
|
100% |
1882
22.4 IPS |
|
|
Face Detection (Q)
|
95% |
2812
33.6 IPS |
|
|
Depth Estimation (SP)
|
99% |
2154
16.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
1968
15.2 IPS |
|
|
Depth Estimation (Q)
|
64% |
2817
25.8 IPS |
|
|
Style Transfer (SP)
|
89% |
4258
5.53 IPS |
|
|
Style Transfer (HP)
|
89% |
4048
5.25 IPS |
|
|
Style Transfer (Q)
|
98% |
7219
9.31 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
948
35.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1021
37.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1974
73.2 IPS |
|
|
Text Classification (SP)
|
100% |
414
553.0 IPS |
|
|
Text Classification (HP)
|
99% |
413
551.5 IPS |
|
|
Text Classification (Q)
|
88% |
672
906.0 IPS |
|
|
Machine Translation (SP)
|
100% |
1159
20.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1002
17.3 IPS |
|
|
Machine Translation (Q)
|
50% |
437
15.5 IPS |
