Samsung Galaxy S10e (2019) samsung SM-G970F
Geekbench AI Score
532
Single Precision Score
820
Half Precision Score
691
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| User | slimg |
| Upload Date | July 03 2025 07:44 AM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 12 |
| Model | samsung SM-G970F |
| Model ID | samsung SM-G970F |
| Motherboard | exynos9820 |
| Governor | schedutil |
| CPU Information | |
|---|---|
| Name | ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 83 architecture 8 variant 1 part 3 revision 0 |
| Base Frequency | 1.95 GHz |
| Cluster 1 | 4 Cores @ 1.95 GHz |
| Cluster 2 | 2 Cores @ 2.31 GHz |
| Cluster 3 | 2 Cores @ 2.73 GHz |
| Memory Information | |
|---|---|
| Size | 5.29 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
227
42.2 IPS |
|
|
Image Classification (HP)
|
100% |
362
67.3 IPS |
|
|
Image Classification (Q)
|
97% |
421
78.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
402
6.52 IPS |
|
|
Image Segmentation (HP)
|
100% |
728
11.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
652
10.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
1891
2.21 IPS |
|
|
Pose Estimation (HP)
|
100% |
3531
4.12 IPS |
|
|
Pose Estimation (Q)
|
95% |
3699
4.34 IPS |
|
|
Object Detection (SP)
|
100% |
223
17.7 IPS |
|
|
Object Detection (HP)
|
99% |
464
36.8 IPS |
|
|
Object Detection (Q)
|
83% |
423
34.2 IPS |
|
|
Face Detection (SP)
|
100% |
1156
13.7 IPS |
|
|
Face Detection (HP)
|
100% |
1703
20.2 IPS |
|
|
Face Detection (Q)
|
96% |
1727
20.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
1539
11.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
2744
21.2 IPS |
|
|
Depth Estimation (Q)
|
62% |
2225
21.1 IPS |
|
|
Style Transfer (SP)
|
100% |
4667
6.00 IPS |
|
|
Style Transfer (HP)
|
100% |
9642
12.4 IPS |
|
|
Style Transfer (Q)
|
98% |
8984
11.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
981
36.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1463
54.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1413
52.4 IPS |
|
|
Text Classification (SP)
|
35% |
17
155.6 IPS |
|
|
Text Classification (HP)
|
29% |
12
204.6 IPS |
|
|
Text Classification (Q)
|
29% |
12
206.8 IPS |
|
|
Machine Translation (SP)
|
100% |
347
5.98 IPS |
|
|
Machine Translation (HP)
|
100% |
404
6.96 IPS |
|
|
Machine Translation (Q)
|
43% |
99
5.74 IPS |
