samsung SCG35
Geekbench AI Score
2195
Single Precision Score
2023
Half Precision Score
3405
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| User | ___ |
| Upload Date | July 11 2025 03:56 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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% |
1885
350.5 IPS |
|
|
Image Classification (HP)
|
100% |
2029
377.3 IPS |
|
|
Image Classification (Q)
|
100% |
3666
681.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2584
41.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2583
41.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
4330
70.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
4378
5.11 IPS |
|
|
Pose Estimation (HP)
|
100% |
3481
4.06 IPS |
|
|
Pose Estimation (Q)
|
84% |
8543
10.1 IPS |
|
|
Object Detection (SP)
|
98% |
1486
118.3 IPS |
|
|
Object Detection (HP)
|
98% |
1418
112.8 IPS |
|
|
Object Detection (Q)
|
83% |
2613
211.0 IPS |
|
|
Face Detection (SP)
|
100% |
3094
36.8 IPS |
|
|
Face Detection (HP)
|
100% |
3371
40.1 IPS |
|
|
Face Detection (Q)
|
95% |
6522
77.9 IPS |
|
|
Depth Estimation (SP)
|
99% |
3613
27.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
3193
24.7 IPS |
|
|
Depth Estimation (Q)
|
64% |
5481
50.2 IPS |
|
|
Style Transfer (SP)
|
89% |
7101
9.22 IPS |
|
|
Style Transfer (HP)
|
89% |
7669
9.96 IPS |
|
|
Style Transfer (Q)
|
98% |
14892
19.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1306
48.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1231
45.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3515
130.2 IPS |
|
|
Text Classification (SP)
|
100% |
553
738.0 IPS |
|
|
Text Classification (HP)
|
99% |
509
678.8 IPS |
|
|
Text Classification (Q)
|
88% |
717
967.5 IPS |
|
|
Machine Translation (SP)
|
100% |
1430
24.6 IPS |
|
|
Machine Translation (HP)
|
100% |
859
14.8 IPS |
|
|
Machine Translation (Q)
|
50% |
441
15.7 IPS |
