samsung SM-S938Q
Geekbench AI Score
2191
Single Precision Score
2188
Half Precision Score
3461
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | idanbo |
| Upload Date | February 02 2025 04:09 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Qualcomm ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | samsung SM-S938Q |
| Model ID | samsung SM-S938Q |
| 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 | 10.86 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2068
384.6 IPS |
|
|
Image Classification (HP)
|
100% |
2115
393.3 IPS |
|
|
Image Classification (Q)
|
100% |
4667
868.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2434
39.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2141
34.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
3298
53.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
4565
5.33 IPS |
|
|
Pose Estimation (HP)
|
100% |
4364
5.09 IPS |
|
|
Pose Estimation (Q)
|
84% |
9778
11.6 IPS |
|
|
Object Detection (SP)
|
98% |
1061
84.4 IPS |
|
|
Object Detection (HP)
|
98% |
952
75.8 IPS |
|
|
Object Detection (Q)
|
83% |
2208
178.3 IPS |
|
|
Face Detection (SP)
|
100% |
2834
33.7 IPS |
|
|
Face Detection (HP)
|
100% |
3185
37.8 IPS |
|
|
Face Detection (Q)
|
95% |
5946
71.0 IPS |
|
|
Depth Estimation (SP)
|
99% |
3383
26.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
3728
28.8 IPS |
|
|
Depth Estimation (Q)
|
64% |
7942
72.7 IPS |
|
|
Style Transfer (SP)
|
89% |
9312
12.1 IPS |
|
|
Style Transfer (HP)
|
89% |
9437
12.2 IPS |
|
|
Style Transfer (Q)
|
98% |
16745
21.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1566
57.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1561
57.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2922
108.3 IPS |
|
|
Text Classification (SP)
|
100% |
654
873.0 IPS |
|
|
Text Classification (HP)
|
99% |
656
875.4 IPS |
|
|
Text Classification (Q)
|
88% |
707
954.2 IPS |
|
|
Machine Translation (SP)
|
100% |
1148
19.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1167
20.1 IPS |
|
|
Machine Translation (Q)
|
50% |
455
16.2 IPS |
