Samsung Galaxy S23 Plus
Geekbench AI Score
311
Single Precision Score
16238
Half Precision Score
36511
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | KDA |
| Upload Date | January 27 2025 12:44 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | QNN |
| 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% |
202
37.5 IPS |
|
|
Image Classification (HP)
|
100% |
12807
2.38 KIPS |
|
|
Image Classification (Q)
|
97% |
32219
6.01 KIPS |
|
|
Image Segmentation (SP)
|
100% |
280
4.53 IPS |
|
|
Image Segmentation (HP)
|
100% |
7728
125.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
21571
350.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
365
0.43 IPS |
|
|
Pose Estimation (HP)
|
100% |
71970
84.0 IPS |
|
|
Pose Estimation (Q)
|
98% |
293267
343.3 IPS |
|
|
Object Detection (SP)
|
100% |
170
13.5 IPS |
|
|
Object Detection (HP)
|
100% |
11774
934.0 IPS |
|
|
Object Detection (Q)
|
86% |
13408
1.08 KIPS |
|
|
Face Detection (SP)
|
100% |
446
5.30 IPS |
|
|
Face Detection (HP)
|
100% |
24169
287.2 IPS |
|
|
Face Detection (Q)
|
97% |
80072
954.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
388
2.99 IPS |
|
|
Depth Estimation (HP)
|
99% |
44675
344.2 IPS |
|
|
Depth Estimation (Q)
|
63% |
81180
760.1 IPS |
|
|
Style Transfer (SP)
|
100% |
642
0.82 IPS |
|
|
Style Transfer (HP)
|
98% |
60493
78.0 IPS |
|
|
Style Transfer (Q)
|
98% |
291508
375.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
201
7.43 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
32581
1.20 KIPS |
|
|
Image Super-Resolution (Q)
|
97% |
81791
3.03 KIPS |
|
|
Text Classification (SP)
|
100% |
253
337.8 IPS |
|
|
Text Classification (HP)
|
100% |
2515
3.36 KIPS |
|
|
Text Classification (Q)
|
93% |
5578
7.49 KIPS |
|
|
Machine Translation (SP)
|
100% |
428
7.37 IPS |
|
|
Machine Translation (HP)
|
100% |
2840
48.9 IPS |
|
|
Machine Translation (Q)
|
55% |
1782
46.7 IPS |
