samsung SM-F966B
Geekbench AI Score
487
Single Precision Score
26999
Half Precision Score
59746
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| User | teknoseyir |
| Upload Date | August 02 2025 04:28 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | QNN |
| 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% |
462
86.0 IPS |
|
|
Image Classification (HP)
|
100% |
21524
4.00 KIPS |
|
|
Image Classification (Q)
|
97% |
49948
9.32 KIPS |
|
|
Image Segmentation (SP)
|
100% |
406
6.58 IPS |
|
|
Image Segmentation (HP)
|
100% |
13598
220.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
40683
661.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
511
0.60 IPS |
|
|
Pose Estimation (HP)
|
100% |
123602
144.2 IPS |
|
|
Pose Estimation (Q)
|
98% |
474763
555.7 IPS |
|
|
Object Detection (SP)
|
100% |
268
21.3 IPS |
|
|
Object Detection (HP)
|
100% |
18768
1.49 KIPS |
|
|
Object Detection (Q)
|
85% |
21908
1.76 KIPS |
|
|
Face Detection (SP)
|
100% |
725
8.61 IPS |
|
|
Face Detection (HP)
|
100% |
40326
479.2 IPS |
|
|
Face Detection (Q)
|
97% |
131775
1.57 KIPS |
|
|
Depth Estimation (SP)
|
100% |
624
4.81 IPS |
|
|
Depth Estimation (HP)
|
99% |
83314
641.9 IPS |
|
|
Depth Estimation (Q)
|
63% |
137510
1.27 KIPS |
|
|
Style Transfer (SP)
|
100% |
1020
1.31 IPS |
|
|
Style Transfer (HP)
|
98% |
98376
126.9 IPS |
|
|
Style Transfer (Q)
|
98% |
489901
631.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
317
11.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
53203
1.96 KIPS |
|
|
Image Super-Resolution (Q)
|
97% |
133487
4.95 KIPS |
|
|
Text Classification (SP)
|
100% |
316
422.3 IPS |
|
|
Text Classification (HP)
|
100% |
3876
5.17 KIPS |
|
|
Text Classification (Q)
|
93% |
7928
10.6 KIPS |
|
|
Machine Translation (SP)
|
100% |
642
11.1 IPS |
|
|
Machine Translation (HP)
|
100% |
4449
76.6 IPS |
|
|
Machine Translation (Q)
|
56% |
2919
75.2 IPS |
