samsung SM-F966B
Geekbench AI Score
2607
Single Precision Score
2441
Half Precision Score
4221
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | September 02 2025 05:36 AM |
| Views | 2 |
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% |
2102
391.0 IPS |
|
|
Image Classification (HP)
|
100% |
2189
407.1 IPS |
|
|
Image Classification (Q)
|
100% |
4639
862.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2520
40.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2407
39.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
5554
90.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
5430
6.34 IPS |
|
|
Pose Estimation (HP)
|
100% |
3892
4.54 IPS |
|
|
Pose Estimation (Q)
|
84% |
11289
13.4 IPS |
|
|
Object Detection (SP)
|
98% |
1364
108.5 IPS |
|
|
Object Detection (HP)
|
98% |
1343
106.8 IPS |
|
|
Object Detection (Q)
|
83% |
3680
297.3 IPS |
|
|
Face Detection (SP)
|
100% |
4294
51.0 IPS |
|
|
Face Detection (HP)
|
100% |
4326
51.4 IPS |
|
|
Face Detection (Q)
|
95% |
8875
106.0 IPS |
|
|
Depth Estimation (SP)
|
99% |
4579
35.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
3869
29.9 IPS |
|
|
Depth Estimation (Q)
|
64% |
7003
64.1 IPS |
|
|
Style Transfer (SP)
|
89% |
9526
12.4 IPS |
|
|
Style Transfer (HP)
|
89% |
8930
11.6 IPS |
|
|
Style Transfer (Q)
|
98% |
17190
22.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1887
69.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2207
81.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4822
178.7 IPS |
|
|
Text Classification (SP)
|
100% |
798
1.07 KIPS |
|
|
Text Classification (HP)
|
99% |
738
985.7 IPS |
|
|
Text Classification (Q)
|
88% |
739
996.8 IPS |
|
|
Machine Translation (SP)
|
100% |
1313
22.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1121
19.3 IPS |
|
|
Machine Translation (Q)
|
50% |
441
15.6 IPS |
