Samsung Galaxy Z Fold5
Geekbench AI Score
1459
Single Precision Score
2259
Half Precision Score
1851
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | vuthi |
| Upload Date | September 27 2025 07:36 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | Qualcomm Snapdragon 8 Gen 2 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| 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 | 10.88 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
924
171.8 IPS |
|
|
Image Classification (HP)
|
100% |
1311
243.8 IPS |
|
|
Image Classification (Q)
|
99% |
1173
218.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1874
30.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
3204
51.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
2640
42.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
7159
8.35 IPS |
|
|
Pose Estimation (HP)
|
99% |
12825
15.0 IPS |
|
|
Pose Estimation (Q)
|
97% |
12564
14.7 IPS |
|
|
Object Detection (SP)
|
100% |
839
66.6 IPS |
|
|
Object Detection (HP)
|
99% |
1327
105.3 IPS |
|
|
Object Detection (Q)
|
82% |
1138
92.1 IPS |
|
|
Face Detection (SP)
|
100% |
3134
37.2 IPS |
|
|
Face Detection (HP)
|
100% |
5360
63.7 IPS |
|
|
Face Detection (Q)
|
97% |
4319
51.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
3518
27.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
5296
40.9 IPS |
|
|
Depth Estimation (Q)
|
63% |
4425
41.5 IPS |
|
|
Style Transfer (SP)
|
100% |
9019
11.6 IPS |
|
|
Style Transfer (HP)
|
100% |
17615
22.6 IPS |
|
|
Style Transfer (Q)
|
98% |
17357
22.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1802
66.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2685
99.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2705
100.2 IPS |
|
|
Text Classification (SP)
|
35% |
36
347.2 IPS |
|
|
Text Classification (HP)
|
35% |
49
444.5 IPS |
|
|
Text Classification (Q)
|
35% |
47
458.1 IPS |
|
|
Machine Translation (SP)
|
100% |
654
11.3 IPS |
|
|
Machine Translation (HP)
|
97% |
738
12.8 IPS |
|
|
Machine Translation (Q)
|
49% |
254
9.53 IPS |
