samsung SM-F966B
Geekbench AI Score
2581
Single Precision Score
4024
Half Precision Score
3378
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | teknoseyir |
| Upload Date | September 18 2025 04:28 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
1724
320.6 IPS |
|
|
Image Classification (HP)
|
100% |
2917
542.5 IPS |
|
|
Image Classification (Q)
|
100% |
2921
543.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
3140
50.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
5266
85.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
4772
77.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
12853
15.0 IPS |
|
|
Pose Estimation (HP)
|
99% |
22357
26.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
21908
25.7 IPS |
|
|
Object Detection (SP)
|
100% |
1354
107.4 IPS |
|
|
Object Detection (HP)
|
99% |
1782
141.4 IPS |
|
|
Object Detection (Q)
|
85% |
1811
145.8 IPS |
|
|
Face Detection (SP)
|
100% |
5209
61.9 IPS |
|
|
Face Detection (HP)
|
100% |
9331
110.9 IPS |
|
|
Face Detection (Q)
|
97% |
8293
98.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
6448
49.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
8840
68.3 IPS |
|
|
Depth Estimation (Q)
|
61% |
6867
66.9 IPS |
|
|
Style Transfer (SP)
|
100% |
15708
20.2 IPS |
|
|
Style Transfer (HP)
|
100% |
34625
44.5 IPS |
|
|
Style Transfer (Q)
|
98% |
32159
41.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3398
125.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5293
195.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
5067
187.8 IPS |
|
|
Text Classification (SP)
|
35% |
78
760.9 IPS |
|
|
Text Classification (HP)
|
35% |
78
706.7 IPS |
|
|
Text Classification (Q)
|
33% |
65
723.7 IPS |
|
|
Machine Translation (SP)
|
100% |
998
17.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1544
26.6 IPS |
|
|
Machine Translation (Q)
|
48% |
581
22.3 IPS |
