samsung SCG35
Geekbench AI Score
391
Single Precision Score
377
Half Precision Score
790
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| User | ___ |
| Upload Date | July 11 2025 04:15 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| Model | samsung SCG35 |
| Model ID | samsung SCG35 |
| Motherboard | s5e9955 |
| Governor | energy_aware |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 10 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 0 part 3461 revision 1 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 2 Cores @ 1.80 GHz |
| Cluster 2 | 5 Cores @ 2.36 GHz |
| Cluster 3 | 2 Cores @ 2.75 GHz |
| Cluster 4 | 1 Core @ 3.30 GHz |
| Memory Information | |
|---|---|
| Size | 10.95 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
371
68.9 IPS |
|
|
Image Classification (HP)
|
100% |
362
67.3 IPS |
|
|
Image Classification (Q)
|
99% |
834
155.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
396
6.42 IPS |
|
|
Image Segmentation (HP)
|
100% |
365
5.92 IPS |
|
|
Image Segmentation (Q)
|
98% |
591
9.60 IPS |
|
|
Pose Estimation (SP)
|
100% |
364
0.42 IPS |
|
|
Pose Estimation (HP)
|
100% |
324
0.38 IPS |
|
|
Pose Estimation (Q)
|
98% |
1447
1.69 IPS |
|
|
Object Detection (SP)
|
100% |
199
15.8 IPS |
|
|
Object Detection (HP)
|
100% |
201
16.0 IPS |
|
|
Object Detection (Q)
|
87% |
486
39.0 IPS |
|
|
Face Detection (SP)
|
100% |
496
5.89 IPS |
|
|
Face Detection (HP)
|
100% |
502
5.96 IPS |
|
|
Face Detection (Q)
|
97% |
1092
13.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
417
3.21 IPS |
|
|
Depth Estimation (HP)
|
99% |
416
3.21 IPS |
|
|
Depth Estimation (Q)
|
64% |
945
8.58 IPS |
|
|
Style Transfer (SP)
|
100% |
646
0.83 IPS |
|
|
Style Transfer (HP)
|
100% |
649
0.83 IPS |
|
|
Style Transfer (Q)
|
98% |
1552
2.00 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
248
9.14 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
269
9.92 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
975
36.1 IPS |
|
|
Text Classification (SP)
|
100% |
361
482.5 IPS |
|
|
Text Classification (HP)
|
100% |
363
484.1 IPS |
|
|
Text Classification (Q)
|
91% |
487
654.6 IPS |
|
|
Machine Translation (SP)
|
100% |
657
11.3 IPS |
|
|
Machine Translation (HP)
|
100% |
520
8.96 IPS |
|
|
Machine Translation (Q)
|
57% |
360
8.79 IPS |
