Samsung Galaxy S23 Plus
Geekbench AI Score
843
Single Precision Score
1127
Half Precision Score
1077
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | der_eismann |
| Upload Date | February 24 2025 10:27 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
665
123.6 IPS |
|
|
Image Classification (HP)
|
100% |
864
160.6 IPS |
|
|
Image Classification (Q)
|
96% |
816
152.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1124
18.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1556
25.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
1425
23.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
983
1.15 IPS |
|
|
Pose Estimation (HP)
|
100% |
1431
1.67 IPS |
|
|
Pose Estimation (Q)
|
96% |
1424
1.67 IPS |
|
|
Object Detection (SP)
|
100% |
496
39.3 IPS |
|
|
Object Detection (HP)
|
100% |
727
57.7 IPS |
|
|
Object Detection (Q)
|
87% |
844
67.8 IPS |
|
|
Face Detection (SP)
|
100% |
2247
26.7 IPS |
|
|
Face Detection (HP)
|
100% |
3012
35.8 IPS |
|
|
Face Detection (Q)
|
97% |
1739
20.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
1509
11.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
2899
22.4 IPS |
|
|
Depth Estimation (Q)
|
63% |
2276
21.1 IPS |
|
|
Style Transfer (SP)
|
100% |
3857
4.96 IPS |
|
|
Style Transfer (HP)
|
100% |
8161
10.5 IPS |
|
|
Style Transfer (Q)
|
98% |
8517
11.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
431
15.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
371
13.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
371
13.7 IPS |
|
|
Text Classification (SP)
|
100% |
223
298.2 IPS |
|
|
Text Classification (HP)
|
100% |
224
298.4 IPS |
|
|
Text Classification (Q)
|
91% |
372
500.2 IPS |
|
|
Machine Translation (SP)
|
100% |
398
6.85 IPS |
|
|
Machine Translation (HP)
|
100% |
400
6.90 IPS |
|
|
Machine Translation (Q)
|
57% |
323
7.89 IPS |
