Samsung Galaxy Z Fold5
Geekbench AI Score
960
Single Precision Score
1238
Half Precision Score
1226
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | December 24 2024 12:21 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
657
122.1 IPS |
|
|
Image Classification (HP)
|
100% |
840
156.2 IPS |
|
|
Image Classification (Q)
|
96% |
795
148.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1189
19.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1128
18.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
1030
16.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
990
1.16 IPS |
|
|
Pose Estimation (HP)
|
100% |
1434
1.67 IPS |
|
|
Pose Estimation (Q)
|
96% |
1427
1.67 IPS |
|
|
Object Detection (SP)
|
100% |
499
39.6 IPS |
|
|
Object Detection (HP)
|
100% |
741
58.8 IPS |
|
|
Object Detection (Q)
|
87% |
825
66.3 IPS |
|
|
Face Detection (SP)
|
100% |
2222
26.4 IPS |
|
|
Face Detection (HP)
|
100% |
3067
36.4 IPS |
|
|
Face Detection (Q)
|
97% |
3157
37.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
1489
11.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
2902
22.4 IPS |
|
|
Depth Estimation (Q)
|
63% |
2366
21.9 IPS |
|
|
Style Transfer (SP)
|
100% |
3853
4.95 IPS |
|
|
Style Transfer (HP)
|
100% |
8683
11.2 IPS |
|
|
Style Transfer (Q)
|
98% |
8637
11.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
451
16.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
374
13.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
372
13.8 IPS |
|
|
Text Classification (SP)
|
100% |
451
602.4 IPS |
|
|
Text Classification (HP)
|
100% |
439
585.8 IPS |
|
|
Text Classification (Q)
|
91% |
644
866.1 IPS |
|
|
Machine Translation (SP)
|
100% |
671
11.6 IPS |
|
|
Machine Translation (HP)
|
100% |
664
11.4 IPS |
|
|
Machine Translation (Q)
|
57% |
519
12.7 IPS |
