samsung SM-F966B
Geekbench AI Score
593
Single Precision Score
26978
Half Precision Score
61014
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | July 09 2025 07:55 PM |
| Views | 3 |
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% |
464
86.2 IPS |
|
|
Image Classification (HP)
|
100% |
21445
3.99 KIPS |
|
|
Image Classification (Q)
|
97% |
50087
9.35 KIPS |
|
|
Image Segmentation (SP)
|
100% |
582
9.43 IPS |
|
|
Image Segmentation (HP)
|
100% |
13646
221.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
42490
690.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
669
0.78 IPS |
|
|
Pose Estimation (HP)
|
100% |
123559
144.2 IPS |
|
|
Pose Estimation (Q)
|
98% |
479331
561.0 IPS |
|
|
Object Detection (SP)
|
100% |
423
33.6 IPS |
|
|
Object Detection (HP)
|
100% |
18722
1.49 KIPS |
|
|
Object Detection (Q)
|
85% |
21914
1.76 KIPS |
|
|
Face Detection (SP)
|
100% |
744
8.84 IPS |
|
|
Face Detection (HP)
|
100% |
40245
478.2 IPS |
|
|
Face Detection (Q)
|
97% |
136056
1.62 KIPS |
|
|
Depth Estimation (SP)
|
100% |
700
5.39 IPS |
|
|
Depth Estimation (HP)
|
99% |
83381
642.4 IPS |
|
|
Depth Estimation (Q)
|
63% |
145739
1.35 KIPS |
|
|
Style Transfer (SP)
|
100% |
1101
1.42 IPS |
|
|
Style Transfer (HP)
|
98% |
98653
127.2 IPS |
|
|
Style Transfer (Q)
|
98% |
491249
633.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
364
13.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
53409
1.97 KIPS |
|
|
Image Super-Resolution (Q)
|
97% |
135453
5.02 KIPS |
|
|
Text Classification (SP)
|
100% |
497
663.5 IPS |
|
|
Text Classification (HP)
|
100% |
3927
5.24 KIPS |
|
|
Text Classification (Q)
|
93% |
8133
10.9 KIPS |
|
|
Machine Translation (SP)
|
100% |
687
11.8 IPS |
|
|
Machine Translation (HP)
|
100% |
4345
74.9 IPS |
|
|
Machine Translation (Q)
|
56% |
2981
76.8 IPS |
