Samsung Galaxy S23 Plus
Geekbench AI Score
200
Single Precision Score
15771
Half Precision Score
35305
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | October 22 2025 06:50 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | QNN |
| Device | Qualcomm Snapdragon 8 Gen 2 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| Model | Samsung Galaxy S23 Plus |
| Model ID | samsung SM-S916W |
| 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 | 6.91 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
150
28.0 IPS |
|
|
Image Classification (HP)
|
100% |
12424
2.31 KIPS |
|
|
Image Classification (Q)
|
97% |
32009
5.97 KIPS |
|
|
Image Segmentation (SP)
|
100% |
193
3.13 IPS |
|
|
Image Segmentation (HP)
|
100% |
7454
120.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
20863
339.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
233
0.27 IPS |
|
|
Pose Estimation (HP)
|
100% |
71842
83.8 IPS |
|
|
Pose Estimation (Q)
|
98% |
292127
341.9 IPS |
|
|
Object Detection (SP)
|
100% |
109
8.66 IPS |
|
|
Object Detection (HP)
|
100% |
11498
912.1 IPS |
|
|
Object Detection (Q)
|
86% |
12934
1.04 KIPS |
|
|
Face Detection (SP)
|
100% |
297
3.53 IPS |
|
|
Face Detection (HP)
|
100% |
22491
267.2 IPS |
|
|
Face Detection (Q)
|
97% |
71417
851.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
264
2.04 IPS |
|
|
Depth Estimation (HP)
|
99% |
44256
341.0 IPS |
|
|
Depth Estimation (Q)
|
63% |
79430
743.8 IPS |
|
|
Style Transfer (SP)
|
100% |
449
0.58 IPS |
|
|
Style Transfer (HP)
|
98% |
60224
77.7 IPS |
|
|
Style Transfer (Q)
|
98% |
290915
375.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
118
4.36 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
31485
1.16 KIPS |
|
|
Image Super-Resolution (Q)
|
97% |
79602
2.95 KIPS |
|
|
Text Classification (SP)
|
100% |
131
175.0 IPS |
|
|
Text Classification (HP)
|
100% |
2493
3.33 KIPS |
|
|
Text Classification (Q)
|
93% |
5488
7.37 KIPS |
|
|
Machine Translation (SP)
|
100% |
264
4.55 IPS |
|
|
Machine Translation (HP)
|
100% |
2645
45.6 IPS |
|
|
Machine Translation (Q)
|
55% |
1654
43.3 IPS |
