Samsung Galaxy Z Fold4
Geekbench AI Score
495
Single Precision Score
581
Half Precision Score
1235
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | Chatzisavvas |
| Upload Date | January 10 2025 01:31 AM |
| Views | 3 |
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-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% |
237
44.1 IPS |
|
|
Image Classification (HP)
|
100% |
210
39.1 IPS |
|
|
Image Classification (Q)
|
100% |
794
147.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
316
5.12 IPS |
|
|
Image Segmentation (HP)
|
100% |
278
4.50 IPS |
|
|
Image Segmentation (Q)
|
98% |
2280
37.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
1073
1.25 IPS |
|
|
Pose Estimation (HP)
|
100% |
1036
1.21 IPS |
|
|
Pose Estimation (Q)
|
84% |
2413
2.86 IPS |
|
|
Object Detection (SP)
|
98% |
221
17.6 IPS |
|
|
Object Detection (HP)
|
98% |
683
54.3 IPS |
|
|
Object Detection (Q)
|
83% |
765
61.8 IPS |
|
|
Face Detection (SP)
|
100% |
631
7.50 IPS |
|
|
Face Detection (HP)
|
100% |
824
9.79 IPS |
|
|
Face Detection (Q)
|
95% |
2270
27.1 IPS |
|
|
Depth Estimation (SP)
|
99% |
1141
8.81 IPS |
|
|
Depth Estimation (HP)
|
99% |
854
6.60 IPS |
|
|
Depth Estimation (Q)
|
64% |
1828
16.7 IPS |
|
|
Style Transfer (SP)
|
89% |
1629
2.11 IPS |
|
|
Style Transfer (HP)
|
89% |
1630
2.12 IPS |
|
|
Style Transfer (Q)
|
98% |
4585
5.91 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
481
17.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
554
20.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1030
38.2 IPS |
|
|
Text Classification (SP)
|
100% |
241
321.6 IPS |
|
|
Text Classification (HP)
|
99% |
274
365.7 IPS |
|
|
Text Classification (Q)
|
88% |
413
556.4 IPS |
|
|
Machine Translation (SP)
|
100% |
369
6.35 IPS |
|
|
Machine Translation (HP)
|
100% |
615
10.6 IPS |
|
|
Machine Translation (Q)
|
50% |
306
10.9 IPS |
