samsung SM-F966B
Geekbench AI Score
2808
Single Precision Score
2705
Half Precision Score
4652
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | epicgeek |
| Upload Date | November 10 2025 01:39 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Qualcomm ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| Model | samsung SM-F966B |
| Model ID | samsung SM-F966B |
| 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% |
2240
416.6 IPS |
|
|
Image Classification (HP)
|
100% |
2239
416.4 IPS |
|
|
Image Classification (Q)
|
100% |
4778
888.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2648
42.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2637
42.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
5611
91.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
5604
6.54 IPS |
|
|
Pose Estimation (HP)
|
100% |
5284
6.17 IPS |
|
|
Pose Estimation (Q)
|
84% |
11904
14.1 IPS |
|
|
Object Detection (SP)
|
98% |
1333
106.1 IPS |
|
|
Object Detection (HP)
|
98% |
1453
115.6 IPS |
|
|
Object Detection (Q)
|
83% |
3705
299.2 IPS |
|
|
Face Detection (SP)
|
100% |
4407
52.4 IPS |
|
|
Face Detection (HP)
|
100% |
4406
52.4 IPS |
|
|
Face Detection (Q)
|
95% |
9105
108.7 IPS |
|
|
Depth Estimation (SP)
|
99% |
4591
35.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
4527
35.0 IPS |
|
|
Depth Estimation (Q)
|
64% |
8368
76.6 IPS |
|
|
Style Transfer (SP)
|
89% |
11554
15.0 IPS |
|
|
Style Transfer (HP)
|
89% |
9683
12.6 IPS |
|
|
Style Transfer (Q)
|
98% |
20851
26.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2248
83.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2295
84.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
5084
188.4 IPS |
|
|
Text Classification (SP)
|
100% |
953
1.27 KIPS |
|
|
Text Classification (HP)
|
99% |
946
1.26 KIPS |
|
|
Text Classification (Q)
|
88% |
1023
1.38 KIPS |
|
|
Machine Translation (SP)
|
100% |
1375
23.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1106
19.1 IPS |
|
|
Machine Translation (Q)
|
50% |
486
17.3 IPS |
