samsung SM-G988U1
Geekbench AI Score
298
Single Precision Score
303
Half Precision Score
598
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | January 26 2025 02:51 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM Qualcomm |
| System Information | |
|---|---|
| Operating System | Android 13 |
| Model | samsung SM-G988U1 |
| Model ID | samsung SM-G988U1 |
| Motherboard | kona |
| Governor | schedutil |
| CPU Information | |
|---|---|
| Name | ARM Qualcomm |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3341 revision 0 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 4 Cores @ 1.80 GHz |
| Cluster 2 | 3 Cores @ 2.42 GHz |
| Cluster 3 | 1 Core @ 2.84 GHz |
| Memory Information | |
|---|---|
| Size | 10.35 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
164
30.6 IPS |
|
|
Image Classification (HP)
|
100% |
178
33.1 IPS |
|
|
Image Classification (Q)
|
100% |
455
84.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
169
2.74 IPS |
|
|
Image Segmentation (HP)
|
100% |
180
2.91 IPS |
|
|
Image Segmentation (Q)
|
98% |
504
8.19 IPS |
|
|
Pose Estimation (SP)
|
100% |
632
0.74 IPS |
|
|
Pose Estimation (HP)
|
100% |
639
0.75 IPS |
|
|
Pose Estimation (Q)
|
84% |
1141
1.35 IPS |
|
|
Object Detection (SP)
|
100% |
165
13.1 IPS |
|
|
Object Detection (HP)
|
100% |
168
13.3 IPS |
|
|
Object Detection (Q)
|
83% |
469
37.9 IPS |
|
|
Face Detection (SP)
|
100% |
358
4.26 IPS |
|
|
Face Detection (HP)
|
100% |
364
4.32 IPS |
|
|
Face Detection (Q)
|
95% |
855
10.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
488
3.76 IPS |
|
|
Depth Estimation (HP)
|
99% |
479
3.69 IPS |
|
|
Depth Estimation (Q)
|
64% |
997
9.14 IPS |
|
|
Style Transfer (SP)
|
89% |
1094
1.42 IPS |
|
|
Style Transfer (HP)
|
89% |
1094
1.42 IPS |
|
|
Style Transfer (Q)
|
98% |
2422
3.12 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
284
10.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
282
10.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
623
23.1 IPS |
|
|
Text Classification (SP)
|
100% |
156
208.0 IPS |
|
|
Text Classification (HP)
|
100% |
157
209.1 IPS |
|
|
Text Classification (Q)
|
88% |
259
349.5 IPS |
|
|
Machine Translation (SP)
|
100% |
231
3.97 IPS |
|
|
Machine Translation (HP)
|
100% |
227
3.91 IPS |
|
|
Machine Translation (Q)
|
50% |
145
5.14 IPS |
