samsung SM-F968U1
Geekbench AI Score
2798
Single Precision Score
2765
Half Precision Score
4748
Quantized Score
Geekbench AI 1.6.1 for Android AArch64
Result Information
| Upload Date | February 09 2026 08:07 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Qualcomm ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| Model | samsung SM-F968U1 |
| Model ID | samsung SM-F968U1 |
| 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 | 14.75 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2210
411.1 IPS |
|
|
Image Classification (HP)
|
100% |
2225
413.7 IPS |
|
|
Image Classification (Q)
|
100% |
4718
877.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2652
43.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2468
40.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
5709
92.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
5447
6.36 IPS |
|
|
Pose Estimation (HP)
|
100% |
5203
6.07 IPS |
|
|
Pose Estimation (Q)
|
84% |
13398
15.9 IPS |
|
|
Object Detection (SP)
|
98% |
1442
114.8 IPS |
|
|
Object Detection (HP)
|
98% |
1631
129.8 IPS |
|
|
Object Detection (Q)
|
83% |
3748
302.7 IPS |
|
|
Face Detection (SP)
|
100% |
4359
51.8 IPS |
|
|
Face Detection (HP)
|
100% |
4360
51.8 IPS |
|
|
Face Detection (Q)
|
95% |
9087
108.5 IPS |
|
|
Depth Estimation (SP)
|
99% |
4595
35.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
4578
35.4 IPS |
|
|
Depth Estimation (Q)
|
64% |
8466
77.5 IPS |
|
|
Style Transfer (SP)
|
89% |
11573
15.0 IPS |
|
|
Style Transfer (HP)
|
89% |
11031
14.3 IPS |
|
|
Style Transfer (Q)
|
98% |
21556
27.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2298
84.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2304
85.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
5239
194.1 IPS |
|
|
Text Classification (SP)
|
100% |
895
1.19 KIPS |
|
|
Text Classification (HP)
|
99% |
947
1.26 KIPS |
|
|
Text Classification (Q)
|
88% |
1040
1.40 KIPS |
|
|
Machine Translation (SP)
|
100% |
1343
23.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1168
20.1 IPS |
|
|
Machine Translation (Q)
|
50% |
477
16.9 IPS |
