samsung SM-N975F
Geekbench AI Score
372
Single Precision Score
480
Half Precision Score
463
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | July 01 2025 07:54 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 12 |
| Model | samsung SM-N975F |
| Model ID | samsung SM-N975F |
| Motherboard | exynos9825 |
| 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 @ 2.40 GHz |
| Cluster 3 | 2 Cores @ 2.73 GHz |
| Memory Information | |
|---|---|
| Size | 11.15 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
270
50.3 IPS |
|
|
Image Classification (HP)
|
100% |
361
67.0 IPS |
|
|
Image Classification (Q)
|
99% |
343
63.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
341
5.53 IPS |
|
|
Image Segmentation (HP)
|
100% |
457
7.40 IPS |
|
|
Image Segmentation (Q)
|
98% |
415
6.74 IPS |
|
|
Pose Estimation (SP)
|
100% |
201
0.23 IPS |
|
|
Pose Estimation (HP)
|
100% |
282
0.33 IPS |
|
|
Pose Estimation (Q)
|
96% |
280
0.33 IPS |
|
|
Object Detection (SP)
|
100% |
239
19.0 IPS |
|
|
Object Detection (HP)
|
100% |
318
25.2 IPS |
|
|
Object Detection (Q)
|
83% |
313
25.3 IPS |
|
|
Face Detection (SP)
|
100% |
963
11.4 IPS |
|
|
Face Detection (HP)
|
100% |
1291
15.3 IPS |
|
|
Face Detection (Q)
|
97% |
1190
14.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
495
3.82 IPS |
|
|
Depth Estimation (HP)
|
99% |
681
5.24 IPS |
|
|
Depth Estimation (Q)
|
62% |
465
4.41 IPS |
|
|
Style Transfer (SP)
|
100% |
968
1.24 IPS |
|
|
Style Transfer (HP)
|
100% |
1546
1.99 IPS |
|
|
Style Transfer (Q)
|
98% |
1538
1.98 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
272
10.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
363
13.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
362
13.4 IPS |
|
|
Text Classification (SP)
|
100% |
239
318.5 IPS |
|
|
Text Classification (HP)
|
100% |
237
316.0 IPS |
|
|
Text Classification (Q)
|
91% |
385
517.3 IPS |
|
|
Machine Translation (SP)
|
100% |
392
6.76 IPS |
|
|
Machine Translation (HP)
|
100% |
381
6.56 IPS |
|
|
Machine Translation (Q)
|
57% |
310
7.57 IPS |
