samsung SM-F9660
Geekbench AI Score
2773
Single Precision Score
4315
Half Precision Score
3607
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | July 12 2025 08:56 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
1732
322.1 IPS |
|
|
Image Classification (HP)
|
100% |
3074
571.6 IPS |
|
|
Image Classification (Q)
|
100% |
2843
528.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
3191
51.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
5631
91.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
5005
81.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
13833
16.1 IPS |
|
|
Pose Estimation (HP)
|
99% |
24755
28.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
24472
28.7 IPS |
|
|
Object Detection (SP)
|
100% |
1562
123.9 IPS |
|
|
Object Detection (HP)
|
99% |
2053
162.9 IPS |
|
|
Object Detection (Q)
|
85% |
1953
157.2 IPS |
|
|
Face Detection (SP)
|
100% |
5456
64.8 IPS |
|
|
Face Detection (HP)
|
100% |
9662
114.8 IPS |
|
|
Face Detection (Q)
|
97% |
8575
102.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
7066
54.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
9552
73.8 IPS |
|
|
Depth Estimation (Q)
|
61% |
7431
72.4 IPS |
|
|
Style Transfer (SP)
|
100% |
17249
22.2 IPS |
|
|
Style Transfer (HP)
|
100% |
38160
49.1 IPS |
|
|
Style Transfer (Q)
|
98% |
37579
48.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3713
137.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5644
208.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
5660
209.8 IPS |
|
|
Text Classification (SP)
|
35% |
89
870.6 IPS |
|
|
Text Classification (HP)
|
35% |
86
780.0 IPS |
|
|
Text Classification (Q)
|
33% |
73
821.0 IPS |
|
|
Machine Translation (SP)
|
100% |
1025
17.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1490
25.7 IPS |
|
|
Machine Translation (Q)
|
48% |
555
21.3 IPS |
