Samsung Galaxy Z Fold5
Geekbench AI Score
791
Single Precision Score
686
Half Precision Score
1473
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | December 31 2024 03:06 PM |
| 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-F946B |
| 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% |
218
40.6 IPS |
|
|
Image Classification (HP)
|
100% |
528
98.2 IPS |
|
|
Image Classification (Q)
|
100% |
1283
238.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1069
17.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
443
7.19 IPS |
|
|
Image Segmentation (Q)
|
98% |
1712
27.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
2077
2.42 IPS |
|
|
Pose Estimation (HP)
|
100% |
1307
1.52 IPS |
|
|
Pose Estimation (Q)
|
84% |
3108
3.69 IPS |
|
|
Object Detection (SP)
|
98% |
483
38.4 IPS |
|
|
Object Detection (HP)
|
98% |
297
23.6 IPS |
|
|
Object Detection (Q)
|
83% |
1083
87.5 IPS |
|
|
Face Detection (SP)
|
100% |
599
7.11 IPS |
|
|
Face Detection (HP)
|
100% |
1117
13.3 IPS |
|
|
Face Detection (Q)
|
95% |
1798
21.5 IPS |
|
|
Depth Estimation (SP)
|
99% |
1661
12.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
1131
8.74 IPS |
|
|
Depth Estimation (Q)
|
64% |
2437
22.3 IPS |
|
|
Style Transfer (SP)
|
89% |
2719
3.53 IPS |
|
|
Style Transfer (HP)
|
89% |
2511
3.26 IPS |
|
|
Style Transfer (Q)
|
98% |
6849
8.83 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
846
31.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
655
24.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1511
56.0 IPS |
|
|
Text Classification (SP)
|
100% |
280
374.3 IPS |
|
|
Text Classification (HP)
|
99% |
229
306.1 IPS |
|
|
Text Classification (Q)
|
88% |
330
445.2 IPS |
|
|
Machine Translation (SP)
|
100% |
643
11.1 IPS |
|
|
Machine Translation (HP)
|
100% |
542
9.34 IPS |
|
|
Machine Translation (Q)
|
50% |
436
15.5 IPS |
