Samsung Galaxy S23 Plus
Geekbench AI Score
900
Single Precision Score
792
Half Precision Score
1356
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | September 09 2025 02:03 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Qualcomm Snapdragon 8 Gen 2 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | Samsung Galaxy S23 Plus |
| Model ID | samsung SM-S916U1 |
| 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% |
791
147.2 IPS |
|
|
Image Classification (HP)
|
100% |
535
99.6 IPS |
|
|
Image Classification (Q)
|
100% |
1206
224.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
350
5.67 IPS |
|
|
Image Segmentation (HP)
|
100% |
611
9.90 IPS |
|
|
Image Segmentation (Q)
|
98% |
1081
17.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
1536
1.79 IPS |
|
|
Pose Estimation (HP)
|
100% |
1579
1.84 IPS |
|
|
Pose Estimation (Q)
|
84% |
3336
3.96 IPS |
|
|
Object Detection (SP)
|
98% |
787
62.6 IPS |
|
|
Object Detection (HP)
|
98% |
283
22.5 IPS |
|
|
Object Detection (Q)
|
83% |
1120
90.5 IPS |
|
|
Face Detection (SP)
|
100% |
1684
20.0 IPS |
|
|
Face Detection (HP)
|
100% |
995
11.8 IPS |
|
|
Face Detection (Q)
|
95% |
2122
25.3 IPS |
|
|
Depth Estimation (SP)
|
99% |
1573
12.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
1391
10.8 IPS |
|
|
Depth Estimation (Q)
|
64% |
2223
20.4 IPS |
|
|
Style Transfer (SP)
|
89% |
2855
3.71 IPS |
|
|
Style Transfer (HP)
|
89% |
2883
3.74 IPS |
|
|
Style Transfer (Q)
|
98% |
4396
5.67 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
738
27.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
779
28.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1267
47.0 IPS |
|
|
Text Classification (SP)
|
100% |
310
414.3 IPS |
|
|
Text Classification (HP)
|
99% |
339
452.0 IPS |
|
|
Text Classification (Q)
|
88% |
496
668.8 IPS |
|
|
Machine Translation (SP)
|
100% |
604
10.4 IPS |
|
|
Machine Translation (HP)
|
100% |
634
10.9 IPS |
|
|
Machine Translation (Q)
|
50% |
332
11.8 IPS |
