Samsung Galaxy Z Fold3 5G
Geekbench AI Score
844
Single Precision Score
1255
Half Precision Score
1092
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | July 12 2025 08:41 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
403
75.0 IPS |
|
|
Image Classification (HP)
|
100% |
619
115.1 IPS |
|
|
Image Classification (Q)
|
99% |
620
115.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
714
11.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1175
19.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
926
15.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
4627
5.40 IPS |
|
|
Pose Estimation (HP)
|
99% |
7695
8.98 IPS |
|
|
Pose Estimation (Q)
|
97% |
7938
9.30 IPS |
|
|
Object Detection (SP)
|
100% |
544
43.2 IPS |
|
|
Object Detection (HP)
|
99% |
741
58.8 IPS |
|
|
Object Detection (Q)
|
85% |
649
52.2 IPS |
|
|
Face Detection (SP)
|
100% |
1708
20.3 IPS |
|
|
Face Detection (HP)
|
100% |
2650
31.5 IPS |
|
|
Face Detection (Q)
|
97% |
2194
26.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
2341
18.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
3330
25.7 IPS |
|
|
Depth Estimation (Q)
|
63% |
2735
25.3 IPS |
|
|
Style Transfer (SP)
|
100% |
5898
7.58 IPS |
|
|
Style Transfer (HP)
|
100% |
11107
14.3 IPS |
|
|
Style Transfer (Q)
|
98% |
10913
14.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1115
41.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1673
61.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1583
58.7 IPS |
|
|
Text Classification (SP)
|
35% |
33
317.0 IPS |
|
|
Text Classification (HP)
|
35% |
41
375.4 IPS |
|
|
Text Classification (Q)
|
35% |
39
353.1 IPS |
|
|
Machine Translation (SP)
|
100% |
294
5.06 IPS |
|
|
Machine Translation (HP)
|
97% |
348
6.02 IPS |
|
|
Machine Translation (Q)
|
64% |
203
4.17 IPS |
