samsung SM-F966W
Geekbench AI Score
414
Single Precision Score
24388
Half Precision Score
55498
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | September 21 2025 02:37 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | QNN |
| Device | Qualcomm ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| Model | samsung SM-F966W |
| Model ID | samsung SM-F966W |
| 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% |
437
81.3 IPS |
|
|
Image Classification (HP)
|
100% |
21148
3.93 KIPS |
|
|
Image Classification (Q)
|
97% |
48520
9.05 KIPS |
|
|
Image Segmentation (SP)
|
100% |
539
8.74 IPS |
|
|
Image Segmentation (HP)
|
100% |
12538
203.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
37210
605.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
388
0.45 IPS |
|
|
Pose Estimation (HP)
|
100% |
109697
128.0 IPS |
|
|
Pose Estimation (Q)
|
98% |
476196
557.4 IPS |
|
|
Object Detection (SP)
|
100% |
251
19.9 IPS |
|
|
Object Detection (HP)
|
100% |
15889
1.26 KIPS |
|
|
Object Detection (Q)
|
85% |
18583
1.50 KIPS |
|
|
Face Detection (SP)
|
100% |
501
5.95 IPS |
|
|
Face Detection (HP)
|
100% |
33339
396.1 IPS |
|
|
Face Detection (Q)
|
97% |
106855
1.27 KIPS |
|
|
Depth Estimation (SP)
|
100% |
433
3.34 IPS |
|
|
Depth Estimation (HP)
|
99% |
72040
555.0 IPS |
|
|
Depth Estimation (Q)
|
63% |
128796
1.19 KIPS |
|
|
Style Transfer (SP)
|
100% |
790
1.02 IPS |
|
|
Style Transfer (HP)
|
98% |
90481
116.7 IPS |
|
|
Style Transfer (Q)
|
98% |
449814
580.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
217
8.00 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
49825
1.84 KIPS |
|
|
Image Super-Resolution (Q)
|
97% |
129330
4.79 KIPS |
|
|
Text Classification (SP)
|
100% |
363
484.6 IPS |
|
|
Text Classification (HP)
|
100% |
3840
5.13 KIPS |
|
|
Text Classification (Q)
|
93% |
7832
10.5 KIPS |
|
|
Machine Translation (SP)
|
100% |
481
8.29 IPS |
|
|
Machine Translation (HP)
|
100% |
3874
66.7 IPS |
|
|
Machine Translation (Q)
|
56% |
2767
71.3 IPS |
