Samsung Galaxy S23
Geekbench AI Score
1815
Single Precision Score
2722
Half Precision Score
2484
Quantized Score
Geekbench AI 1.6.1 for Android AArch64
Result Information
| User | PorywaczPiotrus |
| Upload Date | January 07 2026 07:35 PM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
1030
191.5 IPS |
|
|
Image Classification (HP)
|
100% |
1517
282.2 IPS |
|
|
Image Classification (Q)
|
99% |
1363
254.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2161
35.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
3440
55.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
2929
47.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
8554
9.98 IPS |
|
|
Pose Estimation (HP)
|
99% |
14994
17.5 IPS |
|
|
Pose Estimation (Q)
|
97% |
15165
17.8 IPS |
|
|
Object Detection (SP)
|
100% |
1005
79.7 IPS |
|
|
Object Detection (HP)
|
99% |
1500
119.0 IPS |
|
|
Object Detection (Q)
|
85% |
1394
112.2 IPS |
|
|
Face Detection (SP)
|
100% |
3626
43.1 IPS |
|
|
Face Detection (HP)
|
100% |
5708
67.8 IPS |
|
|
Face Detection (Q)
|
97% |
4892
58.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
4330
33.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
6321
48.9 IPS |
|
|
Depth Estimation (Q)
|
65% |
5294
47.6 IPS |
|
|
Style Transfer (SP)
|
100% |
10955
14.1 IPS |
|
|
Style Transfer (HP)
|
100% |
23691
30.5 IPS |
|
|
Style Transfer (Q)
|
98% |
22530
29.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2333
86.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3485
128.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3610
133.8 IPS |
|
|
Text Classification (SP)
|
35% |
47
458.5 IPS |
|
|
Text Classification (HP)
|
35% |
64
580.6 IPS |
|
|
Text Classification (Q)
|
35% |
63
576.7 IPS |
|
|
Machine Translation (SP)
|
100% |
1076
18.5 IPS |
|
|
Machine Translation (HP)
|
97% |
1000
17.3 IPS |
|
|
Machine Translation (Q)
|
64% |
799
16.4 IPS |
