Samsung Galaxy Z Fold3 5G
Geekbench AI Score
660
Single Precision Score
590
Half Precision Score
1041
Quantized Score
Geekbench AI 1.0.0 for Android AArch64
Result Information
| User | markbyrn |
| Upload Date | September 05 2024 12:24 PM |
| Views | 5 |
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% |
437
81.3 IPS |
|
|
Image Classification (HP)
|
100% |
376
70.0 IPS |
|
|
Image Classification (Q)
|
100% |
1036
192.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
477
7.73 IPS |
|
|
Image Segmentation (HP)
|
100% |
479
7.76 IPS |
|
|
Image Segmentation (Q)
|
98% |
1183
19.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
1839
2.15 IPS |
|
|
Pose Estimation (HP)
|
100% |
1732
2.02 IPS |
|
|
Pose Estimation (Q)
|
84% |
2285
2.71 IPS |
|
|
Object Detection (SP)
|
100% |
342
27.2 IPS |
|
|
Object Detection (HP)
|
100% |
343
27.2 IPS |
|
|
Object Detection (Q)
|
87% |
966
77.6 IPS |
|
|
Face Detection (SP)
|
100% |
1175
14.0 IPS |
|
|
Face Detection (HP)
|
100% |
1176
14.0 IPS |
|
|
Face Detection (Q)
|
95% |
2283
27.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
1547
11.9 IPS |
|
|
Depth Estimation (HP)
|
100% |
1595
12.3 IPS |
|
|
Depth Estimation (Q)
|
75% |
2452
19.9 IPS |
|
|
Style Transfer (SP)
|
89% |
2431
3.16 IPS |
|
|
Style Transfer (HP)
|
89% |
2197
2.85 IPS |
|
|
Style Transfer (Q)
|
98% |
4082
5.26 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
686
25.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
289
10.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
624
23.1 IPS |
|
|
Text Classification (SP)
|
100% |
164
219.4 IPS |
|
|
Text Classification (HP)
|
100% |
164
219.5 IPS |
|
|
Text Classification (Q)
|
88% |
262
353.0 IPS |
|
|
Machine Translation (SP)
|
100% |
243
4.19 IPS |
|
|
Machine Translation (HP)
|
100% |
247
4.25 IPS |
|
|
Machine Translation (Q)
|
50% |
149
5.30 IPS |
