Samsung Galaxy Z Fold5
Geekbench AI Score
575
Single Precision Score
513
Half Precision Score
930
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 17 2025 04:32 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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% |
339
63.1 IPS |
|
|
Image Classification (HP)
|
100% |
261
48.5 IPS |
|
|
Image Classification (Q)
|
100% |
676
125.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
402
6.52 IPS |
|
|
Image Segmentation (HP)
|
100% |
381
6.18 IPS |
|
|
Image Segmentation (Q)
|
98% |
755
12.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
1209
1.41 IPS |
|
|
Pose Estimation (HP)
|
100% |
1245
1.45 IPS |
|
|
Pose Estimation (Q)
|
84% |
2652
3.15 IPS |
|
|
Object Detection (SP)
|
98% |
344
27.4 IPS |
|
|
Object Detection (HP)
|
98% |
360
28.6 IPS |
|
|
Object Detection (Q)
|
83% |
616
49.8 IPS |
|
|
Face Detection (SP)
|
100% |
775
9.21 IPS |
|
|
Face Detection (HP)
|
100% |
719
8.55 IPS |
|
|
Face Detection (Q)
|
95% |
1238
14.8 IPS |
|
|
Depth Estimation (SP)
|
99% |
669
5.17 IPS |
|
|
Depth Estimation (HP)
|
99% |
811
6.26 IPS |
|
|
Depth Estimation (Q)
|
64% |
1654
15.1 IPS |
|
|
Style Transfer (SP)
|
89% |
2519
3.27 IPS |
|
|
Style Transfer (HP)
|
89% |
2506
3.25 IPS |
|
|
Style Transfer (Q)
|
98% |
4230
5.45 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
502
18.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
434
16.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1222
45.3 IPS |
|
|
Text Classification (SP)
|
100% |
227
303.5 IPS |
|
|
Text Classification (HP)
|
99% |
137
182.3 IPS |
|
|
Text Classification (Q)
|
88% |
289
389.7 IPS |
|
|
Machine Translation (SP)
|
100% |
473
8.15 IPS |
|
|
Machine Translation (HP)
|
100% |
332
5.72 IPS |
|
|
Machine Translation (Q)
|
50% |
191
6.77 IPS |
