samsung SCG34
Geekbench AI Score
2132
Single Precision Score
3367
Half Precision Score
2986
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| User | ___ |
| Upload Date | July 11 2025 04:02 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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 | 10.85 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1684
313.3 IPS |
|
|
Image Classification (HP)
|
100% |
2958
550.1 IPS |
|
|
Image Classification (Q)
|
100% |
3060
569.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
3189
51.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
5767
93.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
5488
89.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
13601
15.9 IPS |
|
|
Pose Estimation (HP)
|
99% |
24333
28.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
24441
28.6 IPS |
|
|
Object Detection (SP)
|
100% |
1090
86.4 IPS |
|
|
Object Detection (HP)
|
99% |
1133
89.8 IPS |
|
|
Object Detection (Q)
|
85% |
1194
96.1 IPS |
|
|
Face Detection (SP)
|
100% |
3809
45.3 IPS |
|
|
Face Detection (HP)
|
100% |
6463
76.8 IPS |
|
|
Face Detection (Q)
|
97% |
6602
78.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
4665
35.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
6590
50.9 IPS |
|
|
Depth Estimation (Q)
|
61% |
5221
50.9 IPS |
|
|
Style Transfer (SP)
|
100% |
11392
14.6 IPS |
|
|
Style Transfer (HP)
|
100% |
26203
33.7 IPS |
|
|
Style Transfer (Q)
|
98% |
24688
31.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2496
92.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4074
150.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3764
139.5 IPS |
|
|
Text Classification (SP)
|
35% |
58
563.4 IPS |
|
|
Text Classification (HP)
|
35% |
57
518.0 IPS |
|
|
Text Classification (Q)
|
33% |
60
674.2 IPS |
|
|
Machine Translation (SP)
|
100% |
833
14.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1539
26.5 IPS |
|
|
Machine Translation (Q)
|
48% |
600
23.0 IPS |
