Samsung Galaxy S23 Plus
Geekbench AI Score
950
Single Precision Score
1290
Half Precision Score
1161
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | ShowXTech |
| Upload Date | June 18 2025 01:58 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | Qualcomm Snapdragon 8 Gen 2 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| 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 | 6.91 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
662
123.1 IPS |
|
|
Image Classification (HP)
|
100% |
856
159.1 IPS |
|
|
Image Classification (Q)
|
96% |
812
151.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1105
17.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1945
31.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
1044
17.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
992
1.16 IPS |
|
|
Pose Estimation (HP)
|
100% |
1430
1.67 IPS |
|
|
Pose Estimation (Q)
|
96% |
1425
1.67 IPS |
|
|
Object Detection (SP)
|
100% |
494
39.2 IPS |
|
|
Object Detection (HP)
|
100% |
598
47.4 IPS |
|
|
Object Detection (Q)
|
87% |
824
66.2 IPS |
|
|
Face Detection (SP)
|
100% |
2178
25.9 IPS |
|
|
Face Detection (HP)
|
100% |
3267
38.8 IPS |
|
|
Face Detection (Q)
|
97% |
1680
20.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
1502
11.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
2868
22.2 IPS |
|
|
Depth Estimation (Q)
|
63% |
2368
22.0 IPS |
|
|
Style Transfer (SP)
|
100% |
3852
4.95 IPS |
|
|
Style Transfer (HP)
|
100% |
8673
11.1 IPS |
|
|
Style Transfer (Q)
|
98% |
8616
11.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
448
16.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
370
13.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
367
13.6 IPS |
|
|
Text Classification (SP)
|
100% |
446
595.4 IPS |
|
|
Text Classification (HP)
|
100% |
456
609.1 IPS |
|
|
Text Classification (Q)
|
91% |
695
934.8 IPS |
|
|
Machine Translation (SP)
|
100% |
665
11.5 IPS |
|
|
Machine Translation (HP)
|
100% |
656
11.3 IPS |
|
|
Machine Translation (Q)
|
57% |
515
12.6 IPS |
