samsung SCG37
Geekbench AI Score
364
Single Precision Score
31549
Half Precision Score
78540
Quantized Score
Geekbench AI 1.7.0 for Android AArch64
Result Information
| User | jcalandroid |
| Upload Date | March 13 2026 05:58 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | QNN |
| Device | Qualcomm ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| Model | samsung SCG37 |
| Model ID | samsung SCG37 |
| Motherboard | canoe |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | Qualcomm ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 81 architecture 8 variant 3 part 2 revision 1 |
| Base Frequency | 3.63 GHz |
| Cluster 1 | 6 Cores @ 3.63 GHz |
| Cluster 2 | 2 Cores @ 4.74 GHz |
| Memory Information | |
|---|---|
| Size | 10.86 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
210
39.1 IPS |
|
|
Image Classification (HP)
|
100% |
23629
4.39 KIPS |
|
|
Image Classification (Q)
|
96% |
48330
9.03 KIPS |
|
|
Image Segmentation (SP)
|
100% |
277
4.49 IPS |
|
|
Image Segmentation (HP)
|
100% |
16105
261.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
60923
990.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
368
0.43 IPS |
|
|
Pose Estimation (HP)
|
100% |
163911
191.3 IPS |
|
|
Pose Estimation (Q)
|
98% |
647088
757.4 IPS |
|
|
Object Detection (SP)
|
100% |
208
16.5 IPS |
|
|
Object Detection (HP)
|
100% |
23821
1.89 KIPS |
|
|
Object Detection (Q)
|
85% |
31708
2.55 KIPS |
|
|
Face Detection (SP)
|
100% |
579
6.88 IPS |
|
|
Face Detection (HP)
|
100% |
46087
547.6 IPS |
|
|
Face Detection (Q)
|
97% |
147420
1.76 KIPS |
|
|
Depth Estimation (SP)
|
100% |
481
3.70 IPS |
|
|
Depth Estimation (HP)
|
99% |
93860
723.1 IPS |
|
|
Depth Estimation (Q)
|
63% |
195688
1.82 KIPS |
|
|
Style Transfer (SP)
|
100% |
856
1.10 IPS |
|
|
Style Transfer (HP)
|
100% |
101278
130.2 IPS |
|
|
Style Transfer (Q)
|
98% |
613649
791.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
244
9.01 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
57621
2.13 KIPS |
|
|
Image Super-Resolution (Q)
|
97% |
173305
6.42 KIPS |
|
|
Text Classification (SP)
|
100% |
305
407.0 IPS |
|
|
Text Classification (HP)
|
100% |
4413
5.89 KIPS |
|
|
Text Classification (Q)
|
93% |
11291
15.2 KIPS |
|
|
Machine Translation (SP)
|
100% |
524
9.02 IPS |
|
|
Machine Translation (HP)
|
100% |
5903
101.7 IPS |
|
|
Machine Translation (Q)
|
56% |
4268
110.0 IPS |
