samsung SCG34
Geekbench AI Score
2367
Single Precision Score
2177
Half Precision Score
3797
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | IDEA_ELD |
| Upload Date | September 30 2025 05:38 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Qualcomm ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| Model | samsung SCG34 |
| Model ID | samsung SCG34 |
| Motherboard | sun |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | Qualcomm ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 81 architecture 8 variant 3 part 1 revision 4 |
| Base Frequency | 3.53 GHz |
| Cluster 1 | 6 Cores @ 3.53 GHz |
| Cluster 2 | 2 Cores @ 4.47 GHz |
| Memory Information | |
|---|---|
| Size | 14.75 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2011
373.9 IPS |
|
|
Image Classification (HP)
|
100% |
1876
348.9 IPS |
|
|
Image Classification (Q)
|
100% |
4359
810.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2346
38.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2322
37.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
4947
80.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
5150
6.01 IPS |
|
|
Pose Estimation (HP)
|
100% |
3734
4.36 IPS |
|
|
Pose Estimation (Q)
|
84% |
9726
11.5 IPS |
|
|
Object Detection (SP)
|
98% |
1220
97.1 IPS |
|
|
Object Detection (HP)
|
98% |
1247
99.3 IPS |
|
|
Object Detection (Q)
|
83% |
2886
233.2 IPS |
|
|
Face Detection (SP)
|
100% |
3572
42.4 IPS |
|
|
Face Detection (HP)
|
100% |
3733
44.4 IPS |
|
|
Face Detection (Q)
|
95% |
7237
86.4 IPS |
|
|
Depth Estimation (SP)
|
99% |
4151
32.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
3508
27.1 IPS |
|
|
Depth Estimation (Q)
|
64% |
7114
65.2 IPS |
|
|
Style Transfer (SP)
|
89% |
8566
11.1 IPS |
|
|
Style Transfer (HP)
|
89% |
8258
10.7 IPS |
|
|
Style Transfer (Q)
|
98% |
15537
20.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1760
65.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1843
68.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4461
165.3 IPS |
|
|
Text Classification (SP)
|
100% |
713
952.0 IPS |
|
|
Text Classification (HP)
|
99% |
644
859.1 IPS |
|
|
Text Classification (Q)
|
88% |
551
742.6 IPS |
|
|
Machine Translation (SP)
|
100% |
1172
20.2 IPS |
|
|
Machine Translation (HP)
|
100% |
919
15.8 IPS |
|
|
Machine Translation (Q)
|
50% |
524
18.6 IPS |
