Samsung Galaxy Z Fold4
Geekbench AI Score
1822
Single Precision Score
1815
Half Precision Score
2941
Quantized Score
Geekbench AI 1.0.0 for Android AArch64
Result Information
| User | shaf_ali |
| Upload Date | August 25 2024 09:26 AM |
| Views | 16 |
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% |
1484
276.0 IPS |
|
|
Image Classification (HP)
|
100% |
1614
300.1 IPS |
|
|
Image Classification (Q)
|
100% |
2470
459.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1625
26.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1631
26.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
2688
43.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
2658
3.10 IPS |
|
|
Pose Estimation (HP)
|
100% |
2564
2.99 IPS |
|
|
Pose Estimation (Q)
|
84% |
5758
6.83 IPS |
|
|
Object Detection (SP)
|
98% |
1030
82.0 IPS |
|
|
Object Detection (HP)
|
98% |
1029
81.9 IPS |
|
|
Object Detection (Q)
|
87% |
1882
151.2 IPS |
|
|
Face Detection (SP)
|
100% |
2400
28.5 IPS |
|
|
Face Detection (HP)
|
100% |
2396
28.5 IPS |
|
|
Face Detection (Q)
|
95% |
4090
48.8 IPS |
|
|
Depth Estimation (SP)
|
98% |
3005
23.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
2970
22.9 IPS |
|
|
Depth Estimation (Q)
|
75% |
5819
47.2 IPS |
|
|
Style Transfer (SP)
|
89% |
6137
7.97 IPS |
|
|
Style Transfer (HP)
|
89% |
5978
7.76 IPS |
|
|
Style Transfer (Q)
|
98% |
11536
14.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1408
52.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1452
53.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3048
112.9 IPS |
|
|
Text Classification (SP)
|
100% |
621
829.3 IPS |
|
|
Text Classification (HP)
|
99% |
619
825.9 IPS |
|
|
Text Classification (Q)
|
88% |
1089
1.47 KIPS |
|
|
Machine Translation (SP)
|
100% |
1578
27.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1467
25.3 IPS |
|
|
Machine Translation (Q)
|
50% |
739
26.2 IPS |
