Samsung Galaxy S23
Geekbench AI Score
477
Single Precision Score
479
Half Precision Score
1101
Quantized Score
Geekbench AI 1.6.1 for Android AArch64
Result Information
| User | PorywaczPiotrus |
| Upload Date | January 08 2026 09:56 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | Qualcomm Snapdragon 8 Gen 2 |
| System Information | |
|---|---|
| Operating System | Android 13 |
| 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 | 6.92 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
301
55.9 IPS |
|
|
Image Classification (HP)
|
100% |
288
53.5 IPS |
|
|
Image Classification (Q)
|
99% |
743
138.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
358
5.81 IPS |
|
|
Image Segmentation (HP)
|
100% |
363
5.88 IPS |
|
|
Image Segmentation (Q)
|
98% |
750
12.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
494
0.58 IPS |
|
|
Pose Estimation (HP)
|
100% |
497
0.58 IPS |
|
|
Pose Estimation (Q)
|
98% |
1932
2.26 IPS |
|
|
Object Detection (SP)
|
100% |
277
22.0 IPS |
|
|
Object Detection (HP)
|
100% |
282
22.4 IPS |
|
|
Object Detection (Q)
|
87% |
810
64.9 IPS |
|
|
Face Detection (SP)
|
100% |
691
8.21 IPS |
|
|
Face Detection (HP)
|
100% |
698
8.29 IPS |
|
|
Face Detection (Q)
|
97% |
1579
18.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
608
4.69 IPS |
|
|
Depth Estimation (HP)
|
99% |
619
4.77 IPS |
|
|
Depth Estimation (Q)
|
64% |
1489
13.5 IPS |
|
|
Style Transfer (SP)
|
100% |
1020
1.31 IPS |
|
|
Style Transfer (HP)
|
100% |
1023
1.32 IPS |
|
|
Style Transfer (Q)
|
98% |
2833
3.65 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
325
12.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
324
12.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1141
42.3 IPS |
|
|
Text Classification (SP)
|
100% |
443
591.6 IPS |
|
|
Text Classification (HP)
|
100% |
453
604.5 IPS |
|
|
Text Classification (Q)
|
91% |
730
981.6 IPS |
|
|
Machine Translation (SP)
|
100% |
672
11.6 IPS |
|
|
Machine Translation (HP)
|
100% |
672
11.6 IPS |
|
|
Machine Translation (Q)
|
57% |
542
13.2 IPS |
