Samsung Galaxy Z Fold3 5G
Geekbench AI Score
729
Single Precision Score
635
Half Precision Score
1122
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | May 08 2025 01:45 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Qualcomm Snapdragon 888 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | Samsung Galaxy Z Fold3 5G |
| Model ID | samsung SM-F926B |
| Motherboard | lahaina |
| Governor | schedutil |
| CPU Information | |
|---|---|
| Name | ARM SM8350 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3396 revision 0 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 4 Cores @ 1.80 GHz |
| Cluster 2 | 3 Cores @ 2.42 GHz |
| Cluster 3 | 1 Core @ 2.84 GHz |
| Memory Information | |
|---|---|
| Size | 11.09 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
501
93.1 IPS |
|
|
Image Classification (HP)
|
100% |
509
94.7 IPS |
|
|
Image Classification (Q)
|
100% |
1454
270.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
587
9.51 IPS |
|
|
Image Segmentation (HP)
|
100% |
579
9.38 IPS |
|
|
Image Segmentation (Q)
|
98% |
1638
26.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
2103
2.45 IPS |
|
|
Pose Estimation (HP)
|
100% |
1843
2.15 IPS |
|
|
Pose Estimation (Q)
|
84% |
2282
2.71 IPS |
|
|
Object Detection (SP)
|
100% |
343
27.2 IPS |
|
|
Object Detection (HP)
|
100% |
345
27.4 IPS |
|
|
Object Detection (Q)
|
83% |
820
66.2 IPS |
|
|
Face Detection (SP)
|
100% |
1181
14.0 IPS |
|
|
Face Detection (HP)
|
100% |
1144
13.6 IPS |
|
|
Face Detection (Q)
|
95% |
2275
27.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
1609
12.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
1533
11.8 IPS |
|
|
Depth Estimation (Q)
|
64% |
2169
19.9 IPS |
|
|
Style Transfer (SP)
|
89% |
2825
3.67 IPS |
|
|
Style Transfer (HP)
|
89% |
2720
3.53 IPS |
|
|
Style Transfer (Q)
|
98% |
5422
6.99 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
857
31.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
289
10.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
642
23.8 IPS |
|
|
Text Classification (SP)
|
100% |
173
230.5 IPS |
|
|
Text Classification (HP)
|
100% |
171
228.4 IPS |
|
|
Text Classification (Q)
|
88% |
275
370.2 IPS |
|
|
Machine Translation (SP)
|
100% |
254
4.37 IPS |
|
|
Machine Translation (HP)
|
100% |
243
4.18 IPS |
|
|
Machine Translation (Q)
|
50% |
151
5.36 IPS |
