Samsung Galaxy Z Fold4
Geekbench AI Score
718
Single Precision Score
1017
Half Precision Score
1029
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | 1soft |
| Upload Date | March 02 2025 12:02 PM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
463
86.1 IPS |
|
|
Image Classification (HP)
|
100% |
477
88.6 IPS |
|
|
Image Classification (Q)
|
97% |
442
82.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1028
16.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1193
19.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
1107
18.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
750
0.88 IPS |
|
|
Pose Estimation (HP)
|
100% |
1333
1.56 IPS |
|
|
Pose Estimation (Q)
|
95% |
1331
1.56 IPS |
|
|
Object Detection (SP)
|
100% |
390
31.0 IPS |
|
|
Object Detection (HP)
|
100% |
629
49.9 IPS |
|
|
Object Detection (Q)
|
89% |
686
54.9 IPS |
|
|
Face Detection (SP)
|
100% |
1789
21.3 IPS |
|
|
Face Detection (HP)
|
100% |
2517
29.9 IPS |
|
|
Face Detection (Q)
|
97% |
2133
25.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
1134
8.74 IPS |
|
|
Depth Estimation (HP)
|
99% |
2594
20.0 IPS |
|
|
Depth Estimation (Q)
|
63% |
1954
18.4 IPS |
|
|
Style Transfer (SP)
|
100% |
2846
3.66 IPS |
|
|
Style Transfer (HP)
|
100% |
6060
7.79 IPS |
|
|
Style Transfer (Q)
|
98% |
6081
7.84 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
360
13.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
505
18.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
504
18.7 IPS |
|
|
Text Classification (SP)
|
100% |
281
374.7 IPS |
|
|
Text Classification (HP)
|
100% |
284
379.4 IPS |
|
|
Text Classification (Q)
|
91% |
552
741.5 IPS |
|
|
Machine Translation (SP)
|
100% |
452
7.79 IPS |
|
|
Machine Translation (HP)
|
100% |
441
7.60 IPS |
|
|
Machine Translation (Q)
|
57% |
425
10.4 IPS |
