samsung SM-F966U1
Geekbench AI Score
523
Single Precision Score
27024
Half Precision Score
60271
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | July 10 2025 06:21 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | QNN |
| 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% |
458
85.2 IPS |
|
|
Image Classification (HP)
|
100% |
21327
3.97 KIPS |
|
|
Image Classification (Q)
|
97% |
49921
9.32 KIPS |
|
|
Image Segmentation (SP)
|
100% |
581
9.42 IPS |
|
|
Image Segmentation (HP)
|
100% |
13637
221.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
42534
691.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
603
0.70 IPS |
|
|
Pose Estimation (HP)
|
100% |
123255
143.8 IPS |
|
|
Pose Estimation (Q)
|
98% |
476756
558.0 IPS |
|
|
Object Detection (SP)
|
100% |
271
21.5 IPS |
|
|
Object Detection (HP)
|
100% |
18871
1.50 KIPS |
|
|
Object Detection (Q)
|
85% |
21870
1.76 KIPS |
|
|
Face Detection (SP)
|
100% |
768
9.12 IPS |
|
|
Face Detection (HP)
|
100% |
40956
486.6 IPS |
|
|
Face Detection (Q)
|
97% |
135696
1.62 KIPS |
|
|
Depth Estimation (SP)
|
100% |
649
5.00 IPS |
|
|
Depth Estimation (HP)
|
99% |
83015
639.6 IPS |
|
|
Depth Estimation (Q)
|
63% |
141631
1.31 KIPS |
|
|
Style Transfer (SP)
|
100% |
1051
1.35 IPS |
|
|
Style Transfer (HP)
|
98% |
98415
126.9 IPS |
|
|
Style Transfer (Q)
|
98% |
489191
630.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
314
11.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
52831
1.95 KIPS |
|
|
Image Super-Resolution (Q)
|
97% |
130684
4.84 KIPS |
|
|
Text Classification (SP)
|
100% |
317
422.9 IPS |
|
|
Text Classification (HP)
|
100% |
3892
5.20 KIPS |
|
|
Text Classification (Q)
|
93% |
7986
10.7 KIPS |
|
|
Machine Translation (SP)
|
100% |
681
11.7 IPS |
|
|
Machine Translation (HP)
|
100% |
4464
76.9 IPS |
|
|
Machine Translation (Q)
|
56% |
2912
75.0 IPS |
