Samsung Galaxy Z Fold4
Geekbench AI Score
1481
Single Precision Score
1428
Half Precision Score
2063
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | 1soft |
| Upload Date | March 02 2025 11:56 AM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Qualcomm Snapdragon 8+ Gen 1 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | Samsung Galaxy Z Fold4 |
| Model ID | samsung SM-F936U |
| 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 | 11.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1652
307.2 IPS |
|
|
Image Classification (HP)
|
100% |
1608
299.0 IPS |
|
|
Image Classification (Q)
|
100% |
2365
439.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1679
27.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1561
25.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
2588
42.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
2415
2.82 IPS |
|
|
Pose Estimation (HP)
|
100% |
1869
2.18 IPS |
|
|
Pose Estimation (Q)
|
84% |
3876
4.60 IPS |
|
|
Object Detection (SP)
|
98% |
979
77.9 IPS |
|
|
Object Detection (HP)
|
98% |
977
77.7 IPS |
|
|
Object Detection (Q)
|
83% |
1310
105.8 IPS |
|
|
Face Detection (SP)
|
100% |
1911
22.7 IPS |
|
|
Face Detection (HP)
|
100% |
1900
22.6 IPS |
|
|
Face Detection (Q)
|
95% |
2813
33.6 IPS |
|
|
Depth Estimation (SP)
|
99% |
2129
16.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
2141
16.5 IPS |
|
|
Depth Estimation (Q)
|
64% |
3041
27.8 IPS |
|
|
Style Transfer (SP)
|
89% |
4325
5.61 IPS |
|
|
Style Transfer (HP)
|
89% |
4328
5.62 IPS |
|
|
Style Transfer (Q)
|
98% |
7903
10.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1026
37.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1027
37.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1956
72.5 IPS |
|
|
Text Classification (SP)
|
100% |
413
551.3 IPS |
|
|
Text Classification (HP)
|
99% |
414
553.2 IPS |
|
|
Text Classification (Q)
|
88% |
724
976.3 IPS |
|
|
Machine Translation (SP)
|
100% |
1039
17.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1029
17.7 IPS |
|
|
Machine Translation (Q)
|
50% |
470
16.7 IPS |
