Samsung Galaxy S23
Geekbench AI Score
924
Single Precision Score
797
Half Precision Score
1604
Quantized Score
Geekbench AI 1.6.1 for Android AArch64
Result Information
| Upload Date | January 06 2026 11:56 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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% |
863
160.5 IPS |
|
|
Image Classification (HP)
|
100% |
437
81.3 IPS |
|
|
Image Classification (Q)
|
100% |
1378
256.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
759
12.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
639
10.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
1544
25.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
2045
2.39 IPS |
|
|
Pose Estimation (HP)
|
100% |
1358
1.58 IPS |
|
|
Pose Estimation (Q)
|
84% |
4389
5.20 IPS |
|
|
Object Detection (SP)
|
98% |
347
27.6 IPS |
|
|
Object Detection (HP)
|
98% |
690
54.9 IPS |
|
|
Object Detection (Q)
|
83% |
1290
104.2 IPS |
|
|
Face Detection (SP)
|
100% |
2027
24.1 IPS |
|
|
Face Detection (HP)
|
100% |
1176
14.0 IPS |
|
|
Face Detection (Q)
|
95% |
2144
25.6 IPS |
|
|
Depth Estimation (SP)
|
99% |
1221
9.44 IPS |
|
|
Depth Estimation (HP)
|
99% |
1163
8.98 IPS |
|
|
Depth Estimation (Q)
|
64% |
3263
29.9 IPS |
|
|
Style Transfer (SP)
|
89% |
3566
4.63 IPS |
|
|
Style Transfer (HP)
|
89% |
2589
3.36 IPS |
|
|
Style Transfer (Q)
|
98% |
6251
8.06 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
646
23.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
609
22.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1385
51.3 IPS |
|
|
Text Classification (SP)
|
100% |
287
383.6 IPS |
|
|
Text Classification (HP)
|
99% |
259
345.4 IPS |
|
|
Text Classification (Q)
|
88% |
581
784.1 IPS |
|
|
Machine Translation (SP)
|
100% |
600
10.3 IPS |
|
|
Machine Translation (HP)
|
100% |
714
12.3 IPS |
|
|
Machine Translation (Q)
|
50% |
267
9.46 IPS |
