Samsung Galaxy S23
Geekbench AI Score
816
Single Precision Score
714
Half Precision Score
1261
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 16 2025 02:43 PM |
| Views | 3 |
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% |
928
172.7 IPS |
|
|
Image Classification (HP)
|
100% |
657
122.2 IPS |
|
|
Image Classification (Q)
|
100% |
1372
255.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
664
10.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
403
6.53 IPS |
|
|
Image Segmentation (Q)
|
98% |
1532
24.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
1385
1.62 IPS |
|
|
Pose Estimation (HP)
|
100% |
1060
1.24 IPS |
|
|
Pose Estimation (Q)
|
84% |
2724
3.23 IPS |
|
|
Object Detection (SP)
|
98% |
534
42.5 IPS |
|
|
Object Detection (HP)
|
98% |
426
33.9 IPS |
|
|
Object Detection (Q)
|
83% |
1004
81.1 IPS |
|
|
Face Detection (SP)
|
100% |
984
11.7 IPS |
|
|
Face Detection (HP)
|
100% |
969
11.5 IPS |
|
|
Face Detection (Q)
|
95% |
1938
23.1 IPS |
|
|
Depth Estimation (SP)
|
99% |
1124
8.69 IPS |
|
|
Depth Estimation (HP)
|
99% |
1300
10.0 IPS |
|
|
Depth Estimation (Q)
|
64% |
1242
11.4 IPS |
|
|
Style Transfer (SP)
|
89% |
2895
3.76 IPS |
|
|
Style Transfer (HP)
|
89% |
2961
3.84 IPS |
|
|
Style Transfer (Q)
|
98% |
5090
6.56 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
663
24.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
623
23.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1096
40.6 IPS |
|
|
Text Classification (SP)
|
100% |
239
319.2 IPS |
|
|
Text Classification (HP)
|
99% |
224
298.3 IPS |
|
|
Text Classification (Q)
|
88% |
486
656.0 IPS |
|
|
Machine Translation (SP)
|
100% |
572
9.85 IPS |
|
|
Machine Translation (HP)
|
100% |
554
9.54 IPS |
|
|
Machine Translation (Q)
|
50% |
271
9.62 IPS |
