samsung SCG35
Geekbench AI Score
3457
Single Precision Score
30853
Half Precision Score
48354
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| User | ___ |
| Upload Date | July 11 2025 04:21 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | ENN |
| 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% |
1126
209.5 IPS |
|
|
Image Classification (HP)
|
100% |
17864
3.32 KIPS |
|
|
Image Classification (Q)
|
100% |
42618
7.93 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3144
51.0 IPS |
|
|
Image Segmentation (HP)
|
97% |
15872
258.2 IPS |
|
|
Image Segmentation (Q)
|
96% |
36617
595.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
16141
18.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
116032
135.4 IPS |
|
|
Pose Estimation (Q)
|
97% |
293836
344.1 IPS |
|
|
Object Detection (SP)
|
100% |
1824
144.7 IPS |
|
|
Object Detection (HP)
|
100% |
18369
1.46 KIPS |
|
|
Object Detection (Q)
|
88% |
23929
1.92 KIPS |
|
|
Face Detection (SP)
|
100% |
5604
66.6 IPS |
|
|
Face Detection (HP)
|
100% |
20865
247.9 IPS |
|
|
Face Detection (Q)
|
96% |
93024
1.11 KIPS |
|
|
Depth Estimation (SP)
|
100% |
8771
67.6 IPS |
|
|
Depth Estimation (HP)
|
79% |
89794
713.1 IPS |
|
|
Depth Estimation (Q)
|
63% |
131822
1.23 KIPS |
|
|
Style Transfer (SP)
|
100% |
32884
42.3 IPS |
|
|
Style Transfer (HP)
|
99% |
232488
298.9 IPS |
|
|
Style Transfer (Q)
|
98% |
309429
399.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4097
151.3 IPS |
|
|
Image Super-Resolution (HP)
|
98% |
39146
1.45 KIPS |
|
|
Image Super-Resolution (Q)
|
97% |
41622
1.54 KIPS |
|
|
Text Classification (SP)
|
100% |
261
347.8 IPS |
|
|
Text Classification (HP)
|
100% |
9008
12.0 KIPS |
|
|
Text Classification (Q)
|
93% |
9457
12.7 KIPS |
|
|
Machine Translation (SP)
|
100% |
1357
23.4 IPS |
|
|
Machine Translation (HP)
|
100% |
8422
145.1 IPS |
|
|
Machine Translation (Q)
|
48% |
4264
164.9 IPS |
