samsung SM-F9660
Geekbench AI Score
416
Single Precision Score
26130
Half Precision Score
58070
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | July 12 2025 09:13 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | QNN |
| Device | Qualcomm ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| Model | samsung SM-F9660 |
| Model ID | samsung SM-F9660 |
| 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% |
335
62.4 IPS |
|
|
Image Classification (HP)
|
100% |
20285
3.77 KIPS |
|
|
Image Classification (Q)
|
97% |
48631
9.08 KIPS |
|
|
Image Segmentation (SP)
|
100% |
322
5.22 IPS |
|
|
Image Segmentation (HP)
|
100% |
13127
212.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
39156
636.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
409
0.48 IPS |
|
|
Pose Estimation (HP)
|
100% |
122363
142.8 IPS |
|
|
Pose Estimation (Q)
|
98% |
475470
556.5 IPS |
|
|
Object Detection (SP)
|
100% |
251
19.9 IPS |
|
|
Object Detection (HP)
|
100% |
17819
1.41 KIPS |
|
|
Object Detection (Q)
|
85% |
20440
1.64 KIPS |
|
|
Face Detection (SP)
|
100% |
575
6.83 IPS |
|
|
Face Detection (HP)
|
100% |
38003
451.6 IPS |
|
|
Face Detection (Q)
|
97% |
119163
1.42 KIPS |
|
|
Depth Estimation (SP)
|
100% |
513
3.95 IPS |
|
|
Depth Estimation (HP)
|
99% |
80385
619.3 IPS |
|
|
Depth Estimation (Q)
|
63% |
135900
1.26 KIPS |
|
|
Style Transfer (SP)
|
100% |
900
1.16 IPS |
|
|
Style Transfer (HP)
|
98% |
98515
127.0 IPS |
|
|
Style Transfer (Q)
|
98% |
488815
630.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
266
9.81 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
52300
1.93 KIPS |
|
|
Image Super-Resolution (Q)
|
97% |
133125
4.93 KIPS |
|
|
Text Classification (SP)
|
100% |
363
485.2 IPS |
|
|
Text Classification (HP)
|
100% |
3868
5.16 KIPS |
|
|
Text Classification (Q)
|
93% |
7935
10.6 KIPS |
|
|
Machine Translation (SP)
|
100% |
550
9.48 IPS |
|
|
Machine Translation (HP)
|
100% |
4199
72.3 IPS |
|
|
Machine Translation (Q)
|
56% |
2818
72.6 IPS |
