samsung SM-F966B
Geekbench AI Score
470
Single Precision Score
26797
Half Precision Score
58608
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | July 11 2025 10:15 PM |
| Views | 5 |
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% |
458
85.3 IPS |
|
|
Image Classification (HP)
|
100% |
21476
3.99 KIPS |
|
|
Image Classification (Q)
|
97% |
50140
9.36 KIPS |
|
|
Image Segmentation (SP)
|
100% |
450
7.29 IPS |
|
|
Image Segmentation (HP)
|
100% |
13667
221.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
40143
652.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
479
0.56 IPS |
|
|
Pose Estimation (HP)
|
100% |
123039
143.6 IPS |
|
|
Pose Estimation (Q)
|
98% |
473527
554.2 IPS |
|
|
Object Detection (SP)
|
100% |
255
20.2 IPS |
|
|
Object Detection (HP)
|
100% |
18585
1.47 KIPS |
|
|
Object Detection (Q)
|
85% |
21474
1.73 KIPS |
|
|
Face Detection (SP)
|
100% |
661
7.86 IPS |
|
|
Face Detection (HP)
|
100% |
39618
470.7 IPS |
|
|
Face Detection (Q)
|
97% |
127416
1.52 KIPS |
|
|
Depth Estimation (SP)
|
100% |
573
4.41 IPS |
|
|
Depth Estimation (HP)
|
99% |
81338
626.7 IPS |
|
|
Depth Estimation (Q)
|
63% |
135320
1.25 KIPS |
|
|
Style Transfer (SP)
|
100% |
961
1.24 IPS |
|
|
Style Transfer (HP)
|
98% |
98209
126.6 IPS |
|
|
Style Transfer (Q)
|
98% |
486518
627.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
293
10.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
52819
1.95 KIPS |
|
|
Image Super-Resolution (Q)
|
97% |
125516
4.65 KIPS |
|
|
Text Classification (SP)
|
100% |
315
420.8 IPS |
|
|
Text Classification (HP)
|
100% |
3885
5.19 KIPS |
|
|
Text Classification (Q)
|
93% |
7953
10.7 KIPS |
|
|
Machine Translation (SP)
|
100% |
629
10.8 IPS |
|
|
Machine Translation (HP)
|
100% |
4381
75.5 IPS |
|
|
Machine Translation (Q)
|
56% |
2790
71.9 IPS |
