Samsung Galaxy Z Fold3 5G
Geekbench AI Score
486
Single Precision Score
487
Half Precision Score
804
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | November 24 2024 09:33 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Qualcomm Snapdragon 888 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | Samsung Galaxy Z Fold3 5G |
| Model ID | samsung SM-F926U1 |
| 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% |
319
59.3 IPS |
|
|
Image Classification (HP)
|
100% |
350
65.1 IPS |
|
|
Image Classification (Q)
|
100% |
922
171.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
427
6.93 IPS |
|
|
Image Segmentation (HP)
|
100% |
430
6.97 IPS |
|
|
Image Segmentation (Q)
|
98% |
1106
18.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
1459
1.70 IPS |
|
|
Pose Estimation (HP)
|
100% |
1316
1.54 IPS |
|
|
Pose Estimation (Q)
|
84% |
1701
2.02 IPS |
|
|
Object Detection (SP)
|
100% |
262
20.8 IPS |
|
|
Object Detection (HP)
|
100% |
261
20.7 IPS |
|
|
Object Detection (Q)
|
83% |
626
50.5 IPS |
|
|
Face Detection (SP)
|
100% |
899
10.7 IPS |
|
|
Face Detection (HP)
|
100% |
897
10.7 IPS |
|
|
Face Detection (Q)
|
95% |
1632
19.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
1236
9.52 IPS |
|
|
Depth Estimation (HP)
|
99% |
1224
9.43 IPS |
|
|
Depth Estimation (Q)
|
64% |
1031
9.45 IPS |
|
|
Style Transfer (SP)
|
89% |
1092
1.42 IPS |
|
|
Style Transfer (HP)
|
89% |
1086
1.41 IPS |
|
|
Style Transfer (Q)
|
98% |
2478
3.20 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
293
10.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
295
10.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
630
23.3 IPS |
|
|
Text Classification (SP)
|
100% |
164
219.0 IPS |
|
|
Text Classification (HP)
|
100% |
164
219.5 IPS |
|
|
Text Classification (Q)
|
88% |
266
359.1 IPS |
|
|
Machine Translation (SP)
|
100% |
243
4.18 IPS |
|
|
Machine Translation (HP)
|
100% |
253
4.35 IPS |
|
|
Machine Translation (Q)
|
50% |
149
5.28 IPS |
