samsung SCG37
Geekbench AI Score
2245
Single Precision Score
3065
Half Precision Score
4823
Quantized Score
Geekbench AI 1.7.0 for Android AArch64
Result Information
| User | jcalandroid |
| Upload Date | March 13 2026 05:02 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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% |
1577
293.4 IPS |
|
|
Image Classification (HP)
|
100% |
1963
365.0 IPS |
|
|
Image Classification (Q)
|
99% |
5142
959.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2076
33.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
3486
56.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
6881
111.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
7022
8.19 IPS |
|
|
Pose Estimation (HP)
|
92% |
9898
11.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
12944
15.2 IPS |
|
|
Object Detection (SP)
|
100% |
1253
99.4 IPS |
|
|
Object Detection (HP)
|
97% |
2190
174.3 IPS |
|
|
Object Detection (Q)
|
85% |
3800
306.1 IPS |
|
|
Face Detection (SP)
|
100% |
3691
43.9 IPS |
|
|
Face Detection (HP)
|
100% |
5335
63.4 IPS |
|
|
Face Detection (Q)
|
97% |
7732
92.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
4786
36.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
6505
50.3 IPS |
|
|
Depth Estimation (Q)
|
64% |
6704
61.5 IPS |
|
|
Style Transfer (SP)
|
89% |
8657
11.2 IPS |
|
|
Style Transfer (HP)
|
88% |
9106
11.8 IPS |
|
|
Style Transfer (Q)
|
98% |
15434
19.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1241
45.8 IPS |
|
|
Image Super-Resolution (HP)
|
92% |
2112
78.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4146
153.6 IPS |
|
|
Text Classification (SP)
|
100% |
574
766.3 IPS |
|
|
Text Classification (HP)
|
100% |
613
818.4 IPS |
|
|
Text Classification (Q)
|
93% |
1227
1.65 KIPS |
|
|
Machine Translation (SP)
|
100% |
1037
17.9 IPS |
|
|
Machine Translation (HP)
|
96% |
1209
20.9 IPS |
|
|
Machine Translation (Q)
|
55% |
962
25.8 IPS |
