Samsung Galaxy S23 Plus
Geekbench AI Score
271
Single Precision Score
265
Half Precision Score
604
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | der_eismann |
| Upload Date | February 24 2025 10:42 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | Qualcomm Snapdragon 8 Gen 2 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | Samsung Galaxy S23 Plus |
| Model ID | samsung SM-S916B |
| Motherboard | kalama |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3406 revision 0 |
| Base Frequency | 2.02 GHz |
| Cluster 1 | 3 Cores @ 2.02 GHz |
| Cluster 2 | 4 Cores @ 2.80 GHz |
| Cluster 3 | 1 Core @ 3.36 GHz |
| Memory Information | |
|---|---|
| Size | 6.89 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
161
30.0 IPS |
|
|
Image Classification (HP)
|
100% |
162
30.1 IPS |
|
|
Image Classification (Q)
|
99% |
416
77.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
214
3.46 IPS |
|
|
Image Segmentation (HP)
|
100% |
214
3.47 IPS |
|
|
Image Segmentation (Q)
|
98% |
443
7.21 IPS |
|
|
Pose Estimation (SP)
|
100% |
289
0.34 IPS |
|
|
Pose Estimation (HP)
|
100% |
267
0.31 IPS |
|
|
Pose Estimation (Q)
|
98% |
1099
1.29 IPS |
|
|
Object Detection (SP)
|
100% |
158
12.6 IPS |
|
|
Object Detection (HP)
|
100% |
154
12.2 IPS |
|
|
Object Detection (Q)
|
87% |
449
36.0 IPS |
|
|
Face Detection (SP)
|
100% |
454
5.40 IPS |
|
|
Face Detection (HP)
|
100% |
423
5.03 IPS |
|
|
Face Detection (Q)
|
97% |
874
10.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
350
2.70 IPS |
|
|
Depth Estimation (HP)
|
99% |
353
2.72 IPS |
|
|
Depth Estimation (Q)
|
64% |
820
7.44 IPS |
|
|
Style Transfer (SP)
|
100% |
628
0.81 IPS |
|
|
Style Transfer (HP)
|
100% |
575
0.74 IPS |
|
|
Style Transfer (Q)
|
98% |
1606
2.07 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
170
6.26 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
170
6.27 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
587
21.8 IPS |
|
|
Text Classification (SP)
|
100% |
207
276.9 IPS |
|
|
Text Classification (HP)
|
100% |
207
276.9 IPS |
|
|
Text Classification (Q)
|
91% |
346
464.4 IPS |
|
|
Machine Translation (SP)
|
100% |
398
6.85 IPS |
|
|
Machine Translation (HP)
|
100% |
401
6.91 IPS |
|
|
Machine Translation (Q)
|
57% |
308
7.52 IPS |
