Samsung Galaxy Z Fold4
Geekbench AI Score
1746
Single Precision Score
1774
Half Precision Score
2591
Quantized Score
Geekbench AI 1.6.1 for Android AArch64
Result Information
| Upload Date | January 23 2026 05:45 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Qualcomm Snapdragon 8+ Gen 1 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| Model | Samsung Galaxy Z Fold4 |
| Model ID | samsung SM-F936N |
| 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% |
1457
271.0 IPS |
|
|
Image Classification (HP)
|
100% |
1507
280.3 IPS |
|
|
Image Classification (Q)
|
100% |
2338
434.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1554
25.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1637
26.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
2621
42.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
2626
3.06 IPS |
|
|
Pose Estimation (HP)
|
100% |
2526
2.95 IPS |
|
|
Pose Estimation (Q)
|
84% |
5346
6.34 IPS |
|
|
Object Detection (SP)
|
98% |
1332
106.0 IPS |
|
|
Object Detection (HP)
|
98% |
1334
106.1 IPS |
|
|
Object Detection (Q)
|
83% |
1619
130.8 IPS |
|
|
Face Detection (SP)
|
100% |
2462
29.3 IPS |
|
|
Face Detection (HP)
|
100% |
2477
29.4 IPS |
|
|
Face Detection (Q)
|
95% |
4280
51.1 IPS |
|
|
Depth Estimation (SP)
|
99% |
2931
22.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
2900
22.4 IPS |
|
|
Depth Estimation (Q)
|
64% |
3588
32.9 IPS |
|
|
Style Transfer (SP)
|
89% |
5697
7.40 IPS |
|
|
Style Transfer (HP)
|
89% |
5691
7.39 IPS |
|
|
Style Transfer (Q)
|
98% |
10984
14.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1195
44.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1306
48.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2736
101.4 IPS |
|
|
Text Classification (SP)
|
100% |
541
722.7 IPS |
|
|
Text Classification (HP)
|
99% |
569
759.5 IPS |
|
|
Text Classification (Q)
|
88% |
932
1.26 KIPS |
|
|
Machine Translation (SP)
|
100% |
1253
21.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1228
21.1 IPS |
|
|
Machine Translation (Q)
|
50% |
598
21.2 IPS |
