Samsung Galaxy S23
Geekbench AI Score
2030
Single Precision Score
2385
Half Precision Score
3394
Quantized Score
Geekbench AI 1.7.0 for Android AArch64
Result Information
| Upload Date | March 17 2026 10:08 AM |
| Views | 47 |
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% |
1782
331.4 IPS |
|
|
Image Classification (HP)
|
100% |
1346
250.3 IPS |
|
|
Image Classification (Q)
|
99% |
2727
508.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1787
29.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1583
25.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
2900
47.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
2735
3.19 IPS |
|
|
Pose Estimation (HP)
|
92% |
5374
6.31 IPS |
|
|
Pose Estimation (Q)
|
96% |
6437
7.54 IPS |
|
|
Object Detection (SP)
|
98% |
1546
123.1 IPS |
|
|
Object Detection (HP)
|
97% |
1209
96.2 IPS |
|
|
Object Detection (Q)
|
85% |
2307
185.8 IPS |
|
|
Face Detection (SP)
|
100% |
3031
36.0 IPS |
|
|
Face Detection (HP)
|
100% |
3961
47.1 IPS |
|
|
Face Detection (Q)
|
97% |
5654
67.4 IPS |
|
|
Depth Estimation (SP)
|
99% |
3015
23.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
4870
37.6 IPS |
|
|
Depth Estimation (Q)
|
64% |
5424
50.1 IPS |
|
|
Style Transfer (SP)
|
89% |
7138
9.27 IPS |
|
|
Style Transfer (HP)
|
88% |
7005
9.10 IPS |
|
|
Style Transfer (Q)
|
98% |
13553
17.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1576
58.2 IPS |
|
|
Image Super-Resolution (HP)
|
92% |
2611
97.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3653
135.4 IPS |
|
|
Text Classification (SP)
|
100% |
632
843.6 IPS |
|
|
Text Classification (HP)
|
100% |
920
1.23 KIPS |
|
|
Text Classification (Q)
|
93% |
1149
1.54 KIPS |
|
|
Machine Translation (SP)
|
100% |
1362
23.5 IPS |
|
|
Machine Translation (HP)
|
96% |
1326
22.9 IPS |
|
|
Machine Translation (Q)
|
55% |
991
26.6 IPS |
