Samsung Galaxy Z Fold5
Geekbench AI Score
864
Single Precision Score
830
Half Precision Score
1381
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | September 19 2024 12:37 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Qualcomm Snapdragon 8 Gen 2 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | Samsung Galaxy Z Fold5 |
| Model ID | samsung SM-F946N |
| 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 | 10.87 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
937
174.3 IPS |
|
|
Image Classification (HP)
|
100% |
694
129.1 IPS |
|
|
Image Classification (Q)
|
100% |
1416
263.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
769
12.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
487
7.89 IPS |
|
|
Image Segmentation (Q)
|
98% |
1013
16.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
1256
1.47 IPS |
|
|
Pose Estimation (HP)
|
100% |
1522
1.78 IPS |
|
|
Pose Estimation (Q)
|
84% |
2804
3.33 IPS |
|
|
Object Detection (SP)
|
98% |
530
42.2 IPS |
|
|
Object Detection (HP)
|
98% |
556
44.3 IPS |
|
|
Object Detection (Q)
|
83% |
1038
83.9 IPS |
|
|
Face Detection (SP)
|
100% |
986
11.7 IPS |
|
|
Face Detection (HP)
|
100% |
988
11.7 IPS |
|
|
Face Detection (Q)
|
95% |
2117
25.3 IPS |
|
|
Depth Estimation (SP)
|
99% |
1347
10.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
1348
10.4 IPS |
|
|
Depth Estimation (Q)
|
64% |
2013
18.4 IPS |
|
|
Style Transfer (SP)
|
89% |
2952
3.83 IPS |
|
|
Style Transfer (HP)
|
89% |
2860
3.71 IPS |
|
|
Style Transfer (Q)
|
98% |
5285
6.81 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
536
19.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
631
23.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1481
54.9 IPS |
|
|
Text Classification (SP)
|
100% |
343
457.3 IPS |
|
|
Text Classification (HP)
|
99% |
342
456.1 IPS |
|
|
Text Classification (Q)
|
88% |
483
651.5 IPS |
|
|
Machine Translation (SP)
|
100% |
671
11.6 IPS |
|
|
Machine Translation (HP)
|
100% |
666
11.5 IPS |
|
|
Machine Translation (Q)
|
50% |
377
13.4 IPS |
