samsung SM-F966B
Geekbench AI Score
2627
Single Precision Score
2579
Half Precision Score
4185
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| User | teknoseyir |
| Upload Date | August 02 2025 12:41 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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% |
2232
415.0 IPS |
|
|
Image Classification (HP)
|
100% |
2219
412.6 IPS |
|
|
Image Classification (Q)
|
100% |
4742
881.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2638
42.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2595
42.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
5194
84.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
5222
6.09 IPS |
|
|
Pose Estimation (HP)
|
100% |
4378
5.11 IPS |
|
|
Pose Estimation (Q)
|
84% |
11303
13.4 IPS |
|
|
Object Detection (SP)
|
98% |
1376
109.5 IPS |
|
|
Object Detection (HP)
|
98% |
1477
117.5 IPS |
|
|
Object Detection (Q)
|
83% |
3340
269.8 IPS |
|
|
Face Detection (SP)
|
100% |
4458
53.0 IPS |
|
|
Face Detection (HP)
|
100% |
4401
52.3 IPS |
|
|
Face Detection (Q)
|
95% |
8892
106.2 IPS |
|
|
Depth Estimation (SP)
|
99% |
4409
34.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
3918
30.3 IPS |
|
|
Depth Estimation (Q)
|
64% |
7208
66.0 IPS |
|
|
Style Transfer (SP)
|
89% |
8705
11.3 IPS |
|
|
Style Transfer (HP)
|
89% |
9514
12.4 IPS |
|
|
Style Transfer (Q)
|
98% |
17504
22.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1957
72.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1958
72.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
5388
199.7 IPS |
|
|
Text Classification (SP)
|
100% |
804
1.07 KIPS |
|
|
Text Classification (HP)
|
99% |
922
1.23 KIPS |
|
|
Text Classification (Q)
|
88% |
624
840.9 IPS |
|
|
Machine Translation (SP)
|
100% |
1376
23.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1185
20.4 IPS |
|
|
Machine Translation (Q)
|
50% |
471
16.7 IPS |
