samsung SM-F9660
Geekbench AI Score
443
Single Precision Score
425
Half Precision Score
924
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | July 12 2025 09:08 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| 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% |
365
67.8 IPS |
|
|
Image Classification (HP)
|
100% |
301
55.9 IPS |
|
|
Image Classification (Q)
|
99% |
581
108.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
319
5.16 IPS |
|
|
Image Segmentation (HP)
|
100% |
319
5.18 IPS |
|
|
Image Segmentation (Q)
|
98% |
528
8.58 IPS |
|
|
Pose Estimation (SP)
|
100% |
407
0.47 IPS |
|
|
Pose Estimation (HP)
|
100% |
407
0.47 IPS |
|
|
Pose Estimation (Q)
|
98% |
1706
2.00 IPS |
|
|
Object Detection (SP)
|
100% |
264
21.0 IPS |
|
|
Object Detection (HP)
|
100% |
259
20.6 IPS |
|
|
Object Detection (Q)
|
87% |
676
54.2 IPS |
|
|
Face Detection (SP)
|
100% |
656
7.80 IPS |
|
|
Face Detection (HP)
|
100% |
572
6.79 IPS |
|
|
Face Detection (Q)
|
97% |
1234
14.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
537
4.14 IPS |
|
|
Depth Estimation (HP)
|
99% |
508
3.91 IPS |
|
|
Depth Estimation (Q)
|
64% |
1240
11.2 IPS |
|
|
Style Transfer (SP)
|
100% |
958
1.23 IPS |
|
|
Style Transfer (HP)
|
100% |
894
1.15 IPS |
|
|
Style Transfer (Q)
|
98% |
2655
3.42 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
245
9.04 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
282
10.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1088
40.3 IPS |
|
|
Text Classification (SP)
|
100% |
399
532.2 IPS |
|
|
Text Classification (HP)
|
100% |
400
534.0 IPS |
|
|
Text Classification (Q)
|
91% |
669
899.4 IPS |
|
|
Machine Translation (SP)
|
100% |
720
12.4 IPS |
|
|
Machine Translation (HP)
|
100% |
661
11.4 IPS |
|
|
Machine Translation (Q)
|
57% |
436
10.6 IPS |
