samsung SCG34
Geekbench AI Score
436
Single Precision Score
426
Half Precision Score
876
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| User | ___ |
| Upload Date | July 11 2025 04:13 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| 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% |
431
80.1 IPS |
|
|
Image Classification (HP)
|
100% |
427
79.3 IPS |
|
|
Image Classification (Q)
|
99% |
756
141.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
351
5.68 IPS |
|
|
Image Segmentation (HP)
|
100% |
280
4.54 IPS |
|
|
Image Segmentation (Q)
|
98% |
534
8.69 IPS |
|
|
Pose Estimation (SP)
|
100% |
382
0.45 IPS |
|
|
Pose Estimation (HP)
|
100% |
383
0.45 IPS |
|
|
Pose Estimation (Q)
|
98% |
1511
1.77 IPS |
|
|
Object Detection (SP)
|
100% |
213
16.9 IPS |
|
|
Object Detection (HP)
|
100% |
213
16.9 IPS |
|
|
Object Detection (Q)
|
87% |
549
44.0 IPS |
|
|
Face Detection (SP)
|
100% |
577
6.86 IPS |
|
|
Face Detection (HP)
|
100% |
578
6.87 IPS |
|
|
Face Detection (Q)
|
97% |
1241
14.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
497
3.83 IPS |
|
|
Depth Estimation (HP)
|
99% |
497
3.83 IPS |
|
|
Depth Estimation (Q)
|
64% |
1054
9.56 IPS |
|
|
Style Transfer (SP)
|
100% |
912
1.17 IPS |
|
|
Style Transfer (HP)
|
100% |
907
1.17 IPS |
|
|
Style Transfer (Q)
|
98% |
2316
2.99 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
291
10.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
315
11.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1007
37.3 IPS |
|
|
Text Classification (SP)
|
100% |
370
493.2 IPS |
|
|
Text Classification (HP)
|
100% |
402
536.2 IPS |
|
|
Text Classification (Q)
|
91% |
617
829.6 IPS |
|
|
Machine Translation (SP)
|
100% |
723
12.5 IPS |
|
|
Machine Translation (HP)
|
100% |
625
10.8 IPS |
|
|
Machine Translation (Q)
|
57% |
427
10.4 IPS |
