Samsung Galaxy Z Fold4
Geekbench AI Score
1386
Single Precision Score
1415
Half Precision Score
1966
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | JeuxDangeHeureux |
| Upload Date | December 14 2024 04:43 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Qualcomm Snapdragon 8+ Gen 1 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | Samsung Galaxy Z Fold4 |
| Model ID | samsung SM-F936B |
| Motherboard | taro |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 2 part 3400 revision 0 |
| Base Frequency | 2.02 GHz |
| Cluster 1 | 4 Cores @ 2.02 GHz |
| Cluster 2 | 3 Cores @ 2.75 GHz |
| Cluster 3 | 1 Core @ 3.19 GHz |
| Memory Information | |
|---|---|
| Size | 10.99 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1235
229.7 IPS |
|
|
Image Classification (HP)
|
100% |
1240
230.7 IPS |
|
|
Image Classification (Q)
|
100% |
1777
330.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1317
21.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1427
23.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
1941
31.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
2416
2.82 IPS |
|
|
Pose Estimation (HP)
|
100% |
2375
2.77 IPS |
|
|
Pose Estimation (Q)
|
84% |
3871
4.59 IPS |
|
|
Object Detection (SP)
|
98% |
967
76.9 IPS |
|
|
Object Detection (HP)
|
98% |
966
76.8 IPS |
|
|
Object Detection (Q)
|
83% |
1286
103.8 IPS |
|
|
Face Detection (SP)
|
100% |
1888
22.4 IPS |
|
|
Face Detection (HP)
|
100% |
1808
21.5 IPS |
|
|
Face Detection (Q)
|
95% |
2786
33.3 IPS |
|
|
Depth Estimation (SP)
|
99% |
2130
16.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
2131
16.5 IPS |
|
|
Depth Estimation (Q)
|
64% |
3031
27.8 IPS |
|
|
Style Transfer (SP)
|
89% |
4272
5.55 IPS |
|
|
Style Transfer (HP)
|
89% |
4266
5.54 IPS |
|
|
Style Transfer (Q)
|
98% |
7853
10.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1007
37.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1008
37.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1976
73.2 IPS |
|
|
Text Classification (SP)
|
100% |
386
515.8 IPS |
|
|
Text Classification (HP)
|
99% |
412
550.2 IPS |
|
|
Text Classification (Q)
|
88% |
726
979.6 IPS |
|
|
Machine Translation (SP)
|
100% |
1037
17.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1167
20.1 IPS |
|
|
Machine Translation (Q)
|
50% |
530
18.8 IPS |
