Samsung Galaxy Z Fold5
Geekbench AI Score
1798
Single Precision Score
1766
Half Precision Score
2672
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | May 28 2025 07:38 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Qualcomm Snapdragon 8 Gen 2 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | Samsung Galaxy Z Fold5 |
| Model ID | samsung SM-F946U1 |
| Motherboard | kalama |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3406 revision 0 |
| Base Frequency | 2.02 GHz |
| Cluster 1 | 3 Cores @ 2.02 GHz |
| Cluster 2 | 4 Cores @ 2.80 GHz |
| Cluster 3 | 1 Core @ 3.36 GHz |
| Memory Information | |
|---|---|
| Size | 10.88 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1877
349.1 IPS |
|
|
Image Classification (HP)
|
100% |
1659
308.5 IPS |
|
|
Image Classification (Q)
|
100% |
2970
552.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2039
33.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2065
33.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
3290
53.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
2931
3.42 IPS |
|
|
Pose Estimation (HP)
|
100% |
2983
3.48 IPS |
|
|
Pose Estimation (Q)
|
84% |
6473
7.68 IPS |
|
|
Object Detection (SP)
|
98% |
1368
108.8 IPS |
|
|
Object Detection (HP)
|
98% |
1300
103.4 IPS |
|
|
Object Detection (Q)
|
83% |
1573
127.0 IPS |
|
|
Face Detection (SP)
|
100% |
2428
28.8 IPS |
|
|
Face Detection (HP)
|
100% |
2502
29.7 IPS |
|
|
Face Detection (Q)
|
95% |
3868
46.2 IPS |
|
|
Depth Estimation (SP)
|
99% |
2480
19.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
2420
18.7 IPS |
|
|
Depth Estimation (Q)
|
64% |
3863
35.4 IPS |
|
|
Style Transfer (SP)
|
89% |
5696
7.39 IPS |
|
|
Style Transfer (HP)
|
89% |
5656
7.34 IPS |
|
|
Style Transfer (Q)
|
98% |
10207
13.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1225
45.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1211
44.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2620
97.1 IPS |
|
|
Text Classification (SP)
|
100% |
492
657.0 IPS |
|
|
Text Classification (HP)
|
99% |
493
658.4 IPS |
|
|
Text Classification (Q)
|
88% |
835
1.13 KIPS |
|
|
Machine Translation (SP)
|
100% |
1116
19.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1090
18.8 IPS |
|
|
Machine Translation (Q)
|
50% |
559
19.8 IPS |
