samsung SCG34
Geekbench AI Score
2308
Single Precision Score
2179
Half Precision Score
3868
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| User | ___ |
| Upload Date | July 11 2025 03:58 AM |
| Views | 7 |
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 | 10.85 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1946
361.8 IPS |
|
|
Image Classification (HP)
|
100% |
1956
363.7 IPS |
|
|
Image Classification (Q)
|
100% |
4334
805.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2303
37.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2224
36.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
5145
83.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
5020
5.86 IPS |
|
|
Pose Estimation (HP)
|
100% |
4037
4.71 IPS |
|
|
Pose Estimation (Q)
|
84% |
10417
12.4 IPS |
|
|
Object Detection (SP)
|
98% |
1299
103.4 IPS |
|
|
Object Detection (HP)
|
98% |
1381
109.9 IPS |
|
|
Object Detection (Q)
|
83% |
3291
265.8 IPS |
|
|
Face Detection (SP)
|
100% |
3703
44.0 IPS |
|
|
Face Detection (HP)
|
100% |
3818
45.4 IPS |
|
|
Face Detection (Q)
|
95% |
5866
70.0 IPS |
|
|
Depth Estimation (SP)
|
99% |
3976
30.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
3613
27.9 IPS |
|
|
Depth Estimation (Q)
|
64% |
6417
58.8 IPS |
|
|
Style Transfer (SP)
|
89% |
8873
11.5 IPS |
|
|
Style Transfer (HP)
|
89% |
8371
10.9 IPS |
|
|
Style Transfer (Q)
|
98% |
17455
22.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1634
60.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1779
65.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4088
151.5 IPS |
|
|
Text Classification (SP)
|
100% |
560
747.3 IPS |
|
|
Text Classification (HP)
|
99% |
515
687.4 IPS |
|
|
Text Classification (Q)
|
88% |
893
1.20 KIPS |
|
|
Machine Translation (SP)
|
100% |
1233
21.2 IPS |
|
|
Machine Translation (HP)
|
100% |
941
16.2 IPS |
|
|
Machine Translation (Q)
|
50% |
409
14.5 IPS |
