samsung SM-F966U1
Geekbench AI Score
597
Single Precision Score
25798
Half Precision Score
58037
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | August 04 2025 03:43 PM |
| Views | 25 |
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% |
437
81.2 IPS |
|
|
Image Classification (HP)
|
100% |
21128
3.93 KIPS |
|
|
Image Classification (Q)
|
97% |
49048
9.15 KIPS |
|
|
Image Segmentation (SP)
|
100% |
524
8.50 IPS |
|
|
Image Segmentation (HP)
|
100% |
13563
219.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
41709
678.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
608
0.71 IPS |
|
|
Pose Estimation (HP)
|
100% |
111087
129.6 IPS |
|
|
Pose Estimation (Q)
|
98% |
433112
506.9 IPS |
|
|
Object Detection (SP)
|
100% |
342
27.1 IPS |
|
|
Object Detection (HP)
|
100% |
18035
1.43 KIPS |
|
|
Object Detection (Q)
|
85% |
20969
1.69 KIPS |
|
|
Face Detection (SP)
|
100% |
937
11.1 IPS |
|
|
Face Detection (HP)
|
100% |
38872
461.9 IPS |
|
|
Face Detection (Q)
|
97% |
136068
1.62 KIPS |
|
|
Depth Estimation (SP)
|
100% |
765
5.90 IPS |
|
|
Depth Estimation (HP)
|
99% |
76165
586.8 IPS |
|
|
Depth Estimation (Q)
|
63% |
134016
1.24 KIPS |
|
|
Style Transfer (SP)
|
100% |
1158
1.49 IPS |
|
|
Style Transfer (HP)
|
98% |
91058
117.4 IPS |
|
|
Style Transfer (Q)
|
98% |
452911
584.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
398
14.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
51764
1.91 KIPS |
|
|
Image Super-Resolution (Q)
|
97% |
128881
4.78 KIPS |
|
|
Text Classification (SP)
|
100% |
429
572.4 IPS |
|
|
Text Classification (HP)
|
100% |
3717
4.96 KIPS |
|
|
Text Classification (Q)
|
93% |
7626
10.2 KIPS |
|
|
Machine Translation (SP)
|
100% |
860
14.8 IPS |
|
|
Machine Translation (HP)
|
100% |
4386
75.5 IPS |
|
|
Machine Translation (Q)
|
56% |
2875
74.1 IPS |
