Samsung Galaxy Z Fold4
Geekbench AI Score
328
Single Precision Score
11324
Half Precision Score
30400
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | 1soft |
| Upload Date | March 12 2025 10:07 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | QNN |
| 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% |
216
40.1 IPS |
|
|
Image Classification (HP)
|
100% |
8647
1.61 KIPS |
|
|
Image Classification (Q)
|
99% |
24761
4.62 KIPS |
|
|
Image Segmentation (SP)
|
100% |
264
4.28 IPS |
|
|
Image Segmentation (HP)
|
100% |
6827
110.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
19569
318.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
336
0.39 IPS |
|
|
Pose Estimation (HP)
|
100% |
37306
43.5 IPS |
|
|
Pose Estimation (Q)
|
94% |
227040
266.2 IPS |
|
|
Object Detection (SP)
|
100% |
190
15.1 IPS |
|
|
Object Detection (HP)
|
100% |
8029
636.9 IPS |
|
|
Object Detection (Q)
|
88% |
12495
1.00 KIPS |
|
|
Face Detection (SP)
|
100% |
527
6.26 IPS |
|
|
Face Detection (HP)
|
100% |
18782
223.2 IPS |
|
|
Face Detection (Q)
|
97% |
77489
923.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
417
3.21 IPS |
|
|
Depth Estimation (HP)
|
99% |
28446
219.8 IPS |
|
|
Depth Estimation (Q)
|
64% |
67444
620.9 IPS |
|
|
Style Transfer (SP)
|
100% |
701
0.90 IPS |
|
|
Style Transfer (HP)
|
98% |
39620
51.1 IPS |
|
|
Style Transfer (Q)
|
98% |
228055
294.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
201
7.44 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
21862
807.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
73365
2.72 KIPS |
|
|
Text Classification (SP)
|
100% |
278
371.4 IPS |
|
|
Text Classification (HP)
|
100% |
1913
2.55 KIPS |
|
|
Text Classification (Q)
|
94% |
4484
6.02 KIPS |
|
|
Machine Translation (SP)
|
100% |
467
8.04 IPS |
|
|
Machine Translation (HP)
|
100% |
2216
38.2 IPS |
|
|
Machine Translation (Q)
|
50% |
1251
43.3 IPS |
