Samsung Galaxy S23
Geekbench AI Score
376
Single Precision Score
367
Half Precision Score
766
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | bkr899 |
| Upload Date | October 26 2025 10:12 PM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | Qualcomm Snapdragon 8 Gen 2 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| Model | Samsung Galaxy S23 |
| Model ID | samsung SM-S911B |
| 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% |
288
53.6 IPS |
|
|
Image Classification (HP)
|
100% |
279
51.9 IPS |
|
|
Image Classification (Q)
|
99% |
706
131.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
340
5.51 IPS |
|
|
Image Segmentation (HP)
|
100% |
343
5.56 IPS |
|
|
Image Segmentation (Q)
|
98% |
710
11.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
460
0.54 IPS |
|
|
Pose Estimation (HP)
|
100% |
377
0.44 IPS |
|
|
Pose Estimation (Q)
|
98% |
1408
1.65 IPS |
|
|
Object Detection (SP)
|
100% |
202
16.0 IPS |
|
|
Object Detection (HP)
|
100% |
203
16.1 IPS |
|
|
Object Detection (Q)
|
87% |
531
42.6 IPS |
|
|
Face Detection (SP)
|
100% |
506
6.02 IPS |
|
|
Face Detection (HP)
|
100% |
515
6.11 IPS |
|
|
Face Detection (Q)
|
97% |
1011
12.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
450
3.47 IPS |
|
|
Depth Estimation (HP)
|
99% |
453
3.49 IPS |
|
|
Depth Estimation (Q)
|
64% |
991
8.99 IPS |
|
|
Style Transfer (SP)
|
100% |
749
0.96 IPS |
|
|
Style Transfer (HP)
|
100% |
732
0.94 IPS |
|
|
Style Transfer (Q)
|
98% |
1610
2.08 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
234
8.63 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
230
8.51 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
807
29.9 IPS |
|
|
Text Classification (SP)
|
100% |
296
395.7 IPS |
|
|
Text Classification (HP)
|
100% |
299
398.8 IPS |
|
|
Text Classification (Q)
|
91% |
428
575.7 IPS |
|
|
Machine Translation (SP)
|
100% |
531
9.15 IPS |
|
|
Machine Translation (HP)
|
100% |
517
8.90 IPS |
|
|
Machine Translation (Q)
|
57% |
334
8.16 IPS |
