samsung SM-F966B
Geekbench AI Score
462
Single Precision Score
26803
Half Precision Score
58798
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | teknoseyir |
| Upload Date | September 18 2025 04:43 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% |
451
83.8 IPS |
|
|
Image Classification (HP)
|
100% |
21371
3.97 KIPS |
|
|
Image Classification (Q)
|
97% |
50093
9.35 KIPS |
|
|
Image Segmentation (SP)
|
100% |
401
6.49 IPS |
|
|
Image Segmentation (HP)
|
100% |
13701
222.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
40207
653.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
466
0.54 IPS |
|
|
Pose Estimation (HP)
|
100% |
123017
143.5 IPS |
|
|
Pose Estimation (Q)
|
98% |
473655
554.4 IPS |
|
|
Object Detection (SP)
|
100% |
248
19.7 IPS |
|
|
Object Detection (HP)
|
100% |
18621
1.48 KIPS |
|
|
Object Detection (Q)
|
85% |
21010
1.69 KIPS |
|
|
Face Detection (SP)
|
100% |
653
7.76 IPS |
|
|
Face Detection (HP)
|
100% |
39273
466.6 IPS |
|
|
Face Detection (Q)
|
97% |
127064
1.52 KIPS |
|
|
Depth Estimation (SP)
|
100% |
573
4.42 IPS |
|
|
Depth Estimation (HP)
|
99% |
81434
627.4 IPS |
|
|
Depth Estimation (Q)
|
63% |
135553
1.25 KIPS |
|
|
Style Transfer (SP)
|
100% |
934
1.20 IPS |
|
|
Style Transfer (HP)
|
98% |
98118
126.5 IPS |
|
|
Style Transfer (Q)
|
98% |
487053
628.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
293
10.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
53243
1.97 KIPS |
|
|
Image Super-Resolution (Q)
|
97% |
131127
4.86 KIPS |
|
|
Text Classification (SP)
|
100% |
315
420.5 IPS |
|
|
Text Classification (HP)
|
100% |
3889
5.19 KIPS |
|
|
Text Classification (Q)
|
93% |
7952
10.7 KIPS |
|
|
Machine Translation (SP)
|
100% |
661
11.4 IPS |
|
|
Machine Translation (HP)
|
100% |
4391
75.6 IPS |
|
|
Machine Translation (Q)
|
56% |
2817
72.6 IPS |
