samsung SM-F966U1
Geekbench AI Score
476
Single Precision Score
450
Half Precision Score
933
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | August 28 2025 08:11 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| 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% |
429
79.7 IPS |
|
|
Image Classification (HP)
|
100% |
402
74.8 IPS |
|
|
Image Classification (Q)
|
99% |
716
133.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
423
6.86 IPS |
|
|
Image Segmentation (HP)
|
100% |
438
7.11 IPS |
|
|
Image Segmentation (Q)
|
98% |
845
13.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
553
0.65 IPS |
|
|
Pose Estimation (HP)
|
100% |
445
0.52 IPS |
|
|
Pose Estimation (Q)
|
98% |
1719
2.01 IPS |
|
|
Object Detection (SP)
|
100% |
240
19.0 IPS |
|
|
Object Detection (HP)
|
100% |
242
19.2 IPS |
|
|
Object Detection (Q)
|
87% |
624
50.1 IPS |
|
|
Face Detection (SP)
|
100% |
706
8.39 IPS |
|
|
Face Detection (HP)
|
100% |
653
7.76 IPS |
|
|
Face Detection (Q)
|
97% |
1393
16.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
561
4.32 IPS |
|
|
Depth Estimation (HP)
|
99% |
496
3.82 IPS |
|
|
Depth Estimation (Q)
|
64% |
1041
9.44 IPS |
|
|
Style Transfer (SP)
|
100% |
907
1.17 IPS |
|
|
Style Transfer (HP)
|
100% |
900
1.16 IPS |
|
|
Style Transfer (Q)
|
98% |
2539
3.27 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
282
10.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
278
10.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1005
37.2 IPS |
|
|
Text Classification (SP)
|
100% |
369
491.9 IPS |
|
|
Text Classification (HP)
|
100% |
367
490.4 IPS |
|
|
Text Classification (Q)
|
91% |
618
830.1 IPS |
|
|
Machine Translation (SP)
|
100% |
667
11.5 IPS |
|
|
Machine Translation (HP)
|
100% |
617
10.6 IPS |
|
|
Machine Translation (Q)
|
57% |
340
8.30 IPS |
