Samsung Galaxy S23 Plus
Geekbench AI Score
282
Single Precision Score
16271
Half Precision Score
36774
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 15 2025 03:26 AM |
| 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-S916N |
| 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% |
162
30.1 IPS |
|
|
Image Classification (HP)
|
100% |
12542
2.33 KIPS |
|
|
Image Classification (Q)
|
97% |
32274
6.02 KIPS |
|
|
Image Segmentation (SP)
|
100% |
214
3.47 IPS |
|
|
Image Segmentation (HP)
|
100% |
7572
122.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
21135
343.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
291
0.34 IPS |
|
|
Pose Estimation (HP)
|
100% |
72773
84.9 IPS |
|
|
Pose Estimation (Q)
|
98% |
295937
346.4 IPS |
|
|
Object Detection (SP)
|
100% |
160
12.7 IPS |
|
|
Object Detection (HP)
|
100% |
11864
941.0 IPS |
|
|
Object Detection (Q)
|
86% |
13428
1.08 KIPS |
|
|
Face Detection (SP)
|
100% |
456
5.42 IPS |
|
|
Face Detection (HP)
|
100% |
23821
283.0 IPS |
|
|
Face Detection (Q)
|
97% |
81170
968.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
381
2.94 IPS |
|
|
Depth Estimation (HP)
|
99% |
45066
347.2 IPS |
|
|
Depth Estimation (Q)
|
63% |
81754
765.5 IPS |
|
|
Style Transfer (SP)
|
100% |
684
0.88 IPS |
|
|
Style Transfer (HP)
|
98% |
61238
79.0 IPS |
|
|
Style Transfer (Q)
|
98% |
296635
382.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
186
6.85 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
34388
1.27 KIPS |
|
|
Image Super-Resolution (Q)
|
97% |
85468
3.17 KIPS |
|
|
Text Classification (SP)
|
100% |
222
296.9 IPS |
|
|
Text Classification (HP)
|
100% |
2463
3.29 KIPS |
|
|
Text Classification (Q)
|
93% |
5643
7.57 KIPS |
|
|
Machine Translation (SP)
|
100% |
405
6.98 IPS |
|
|
Machine Translation (HP)
|
100% |
2850
49.1 IPS |
|
|
Machine Translation (Q)
|
55% |
1758
46.1 IPS |
