samsung SM-F966U1 Fold 7 samsung SM-F966U1
Geekbench AI Score
2257
Single Precision Score
2223
Half Precision Score
3806
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| User | jeradhill |
| Upload Date | September 03 2025 03:12 AM |
| Views | 14 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Qualcomm ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| Model | samsung SM-F966U1 |
| Model ID | samsung SM-F966U1 |
| Motherboard | sun |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | Qualcomm ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 81 architecture 8 variant 3 part 1 revision 4 |
| Base Frequency | 3.53 GHz |
| Cluster 1 | 6 Cores @ 3.53 GHz |
| Cluster 2 | 2 Cores @ 4.47 GHz |
| Memory Information | |
|---|---|
| Size | 10.85 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2131
396.4 IPS |
|
|
Image Classification (HP)
|
100% |
2001
372.1 IPS |
|
|
Image Classification (Q)
|
100% |
4444
826.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2482
40.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2320
37.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
4556
74.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
4145
4.84 IPS |
|
|
Pose Estimation (HP)
|
100% |
3723
4.34 IPS |
|
|
Pose Estimation (Q)
|
84% |
9074
10.8 IPS |
|
|
Object Detection (SP)
|
98% |
1182
94.1 IPS |
|
|
Object Detection (HP)
|
98% |
1282
102.0 IPS |
|
|
Object Detection (Q)
|
83% |
3062
247.4 IPS |
|
|
Face Detection (SP)
|
100% |
3723
44.2 IPS |
|
|
Face Detection (HP)
|
100% |
4030
47.9 IPS |
|
|
Face Detection (Q)
|
95% |
7310
87.3 IPS |
|
|
Depth Estimation (SP)
|
99% |
3728
28.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
3558
27.5 IPS |
|
|
Depth Estimation (Q)
|
64% |
6860
62.8 IPS |
|
|
Style Transfer (SP)
|
89% |
8436
11.0 IPS |
|
|
Style Transfer (HP)
|
89% |
8458
11.0 IPS |
|
|
Style Transfer (Q)
|
98% |
15064
19.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1700
62.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1921
70.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4545
168.4 IPS |
|
|
Text Classification (SP)
|
100% |
508
677.7 IPS |
|
|
Text Classification (HP)
|
99% |
569
759.1 IPS |
|
|
Text Classification (Q)
|
88% |
822
1.11 KIPS |
|
|
Machine Translation (SP)
|
100% |
1313
22.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1006
17.3 IPS |
|
|
Machine Translation (Q)
|
50% |
402
14.3 IPS |
