samsung SM-G975F
Geekbench AI Score
53
Single Precision Score
956
Half Precision Score
805
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 10 2025 03:15 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| Model | samsung SM-G975F |
| Model ID | samsung SM-G975F |
| 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 | 7.25 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
0% |
0
69.1 IPS |
|
|
Image Classification (HP)
|
100% |
515
95.9 IPS |
|
|
Image Classification (Q)
|
97% |
458
85.5 IPS |
|
|
Image Segmentation (SP)
|
73% |
598
10.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1184
19.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
1086
17.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
3285
3.83 IPS |
|
|
Pose Estimation (HP)
|
100% |
6149
7.17 IPS |
|
|
Pose Estimation (Q)
|
95% |
5952
6.98 IPS |
|
|
Object Detection (SP)
|
1% |
0
22.7 IPS |
|
|
Object Detection (HP)
|
99% |
490
38.9 IPS |
|
|
Object Detection (Q)
|
83% |
463
37.4 IPS |
|
|
Face Detection (SP)
|
0% |
0
16.3 IPS |
|
|
Face Detection (HP)
|
100% |
1850
22.0 IPS |
|
|
Face Detection (Q)
|
96% |
1637
19.5 IPS |
|
|
Depth Estimation (SP)
|
1% |
4
11.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
2628
20.3 IPS |
|
|
Depth Estimation (Q)
|
62% |
1999
19.0 IPS |
|
|
Style Transfer (SP)
|
100% |
4651
5.98 IPS |
|
|
Style Transfer (HP)
|
100% |
9378
12.1 IPS |
|
|
Style Transfer (Q)
|
98% |
9617
12.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
827
30.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1498
55.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1499
55.6 IPS |
|
|
Text Classification (SP)
|
35% |
18
160.6 IPS |
|
|
Text Classification (HP)
|
29% |
13
223.0 IPS |
|
|
Text Classification (Q)
|
32% |
17
216.2 IPS |
|
|
Machine Translation (SP)
|
100% |
327
5.64 IPS |
|
|
Machine Translation (HP)
|
100% |
394
6.79 IPS |
|
|
Machine Translation (Q)
|
43% |
105
6.08 IPS |
