samsung SM-F966U
Geekbench AI Score
499
Single Precision Score
26991
Half Precision Score
60082
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | August 04 2025 01:30 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | QNN |
| Device | Qualcomm ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| Model | samsung SM-F966U |
| Model ID | samsung SM-F966U |
| 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 | 10.83 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
457
85.0 IPS |
|
|
Image Classification (HP)
|
100% |
21431
3.99 KIPS |
|
|
Image Classification (Q)
|
97% |
50433
9.41 KIPS |
|
|
Image Segmentation (SP)
|
100% |
576
9.34 IPS |
|
|
Image Segmentation (HP)
|
100% |
13723
222.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
42460
690.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
507
0.59 IPS |
|
|
Pose Estimation (HP)
|
100% |
123462
144.1 IPS |
|
|
Pose Estimation (Q)
|
98% |
474510
555.4 IPS |
|
|
Object Detection (SP)
|
100% |
253
20.1 IPS |
|
|
Object Detection (HP)
|
100% |
18751
1.49 KIPS |
|
|
Object Detection (Q)
|
85% |
21478
1.73 KIPS |
|
|
Face Detection (SP)
|
100% |
665
7.90 IPS |
|
|
Face Detection (HP)
|
100% |
40268
478.5 IPS |
|
|
Face Detection (Q)
|
97% |
132254
1.58 KIPS |
|
|
Depth Estimation (SP)
|
100% |
619
4.77 IPS |
|
|
Depth Estimation (HP)
|
99% |
83149
640.6 IPS |
|
|
Depth Estimation (Q)
|
63% |
137037
1.27 KIPS |
|
|
Style Transfer (SP)
|
100% |
1020
1.31 IPS |
|
|
Style Transfer (HP)
|
98% |
98184
126.6 IPS |
|
|
Style Transfer (Q)
|
98% |
489424
631.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
317
11.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
52882
1.95 KIPS |
|
|
Image Super-Resolution (Q)
|
97% |
134731
4.99 KIPS |
|
|
Text Classification (SP)
|
100% |
315
419.8 IPS |
|
|
Text Classification (HP)
|
100% |
3876
5.17 KIPS |
|
|
Text Classification (Q)
|
93% |
8016
10.8 KIPS |
|
|
Machine Translation (SP)
|
100% |
687
11.8 IPS |
|
|
Machine Translation (HP)
|
100% |
4473
77.1 IPS |
|
|
Machine Translation (Q)
|
56% |
2932
75.5 IPS |
