samsung SM-F966U1
Geekbench AI Score
2316
Single Precision Score
2455
Half Precision Score
3771
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 06 2025 06:24 AM |
| Views | 1 |
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 | 14.75 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1639
304.8 IPS |
|
|
Image Classification (HP)
|
100% |
1661
308.9 IPS |
|
|
Image Classification (Q)
|
100% |
3841
714.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2117
34.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2125
34.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
4449
72.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
5257
6.13 IPS |
|
|
Pose Estimation (HP)
|
100% |
5195
6.06 IPS |
|
|
Pose Estimation (Q)
|
84% |
12212
14.5 IPS |
|
|
Object Detection (SP)
|
98% |
1539
122.5 IPS |
|
|
Object Detection (HP)
|
98% |
1371
109.1 IPS |
|
|
Object Detection (Q)
|
83% |
3203
258.8 IPS |
|
|
Face Detection (SP)
|
100% |
3624
43.1 IPS |
|
|
Face Detection (HP)
|
100% |
4013
47.7 IPS |
|
|
Face Detection (Q)
|
95% |
8284
98.9 IPS |
|
|
Depth Estimation (SP)
|
99% |
3860
29.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
3900
30.1 IPS |
|
|
Depth Estimation (Q)
|
64% |
3553
32.5 IPS |
|
|
Style Transfer (SP)
|
89% |
6088
7.90 IPS |
|
|
Style Transfer (HP)
|
89% |
11243
14.6 IPS |
|
|
Style Transfer (Q)
|
98% |
11466
14.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1985
73.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2166
80.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
6126
227.0 IPS |
|
|
Text Classification (SP)
|
100% |
815
1.09 KIPS |
|
|
Text Classification (HP)
|
99% |
862
1.15 KIPS |
|
|
Text Classification (Q)
|
88% |
901
1.22 KIPS |
|
|
Machine Translation (SP)
|
100% |
1151
19.8 IPS |
|
|
Machine Translation (HP)
|
100% |
963
16.6 IPS |
|
|
Machine Translation (Q)
|
50% |
468
16.6 IPS |
