Samsung Galaxy S23 Plus
Geekbench AI Score
253
Single Precision Score
16096
Half Precision Score
36267
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | der_eismann |
| Upload Date | February 24 2025 10:49 AM |
| 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% |
162
30.1 IPS |
|
|
Image Classification (HP)
|
100% |
12557
2.34 KIPS |
|
|
Image Classification (Q)
|
97% |
32284
6.02 KIPS |
|
|
Image Segmentation (SP)
|
100% |
215
3.48 IPS |
|
|
Image Segmentation (HP)
|
100% |
7563
122.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
21006
341.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
289
0.34 IPS |
|
|
Pose Estimation (HP)
|
100% |
72436
84.5 IPS |
|
|
Pose Estimation (Q)
|
98% |
293310
343.3 IPS |
|
|
Object Detection (SP)
|
100% |
134
10.6 IPS |
|
|
Object Detection (HP)
|
100% |
11726
930.1 IPS |
|
|
Object Detection (Q)
|
86% |
13235
1.06 KIPS |
|
|
Face Detection (SP)
|
100% |
421
5.00 IPS |
|
|
Face Detection (HP)
|
100% |
23723
281.9 IPS |
|
|
Face Detection (Q)
|
97% |
80654
961.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
347
2.68 IPS |
|
|
Depth Estimation (HP)
|
99% |
44608
343.7 IPS |
|
|
Depth Estimation (Q)
|
63% |
80689
755.5 IPS |
|
|
Style Transfer (SP)
|
100% |
577
0.74 IPS |
|
|
Style Transfer (HP)
|
98% |
60204
77.6 IPS |
|
|
Style Transfer (Q)
|
98% |
291821
376.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
154
5.70 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
32481
1.20 KIPS |
|
|
Image Super-Resolution (Q)
|
97% |
81497
3.02 KIPS |
|
|
Text Classification (SP)
|
100% |
185
246.9 IPS |
|
|
Text Classification (HP)
|
100% |
2521
3.36 KIPS |
|
|
Text Classification (Q)
|
93% |
5605
7.52 KIPS |
|
|
Machine Translation (SP)
|
100% |
338
5.83 IPS |
|
|
Machine Translation (HP)
|
100% |
2775
47.8 IPS |
|
|
Machine Translation (Q)
|
55% |
1724
45.2 IPS |
