Samsung Galaxy S23
Geekbench AI Score
1727
Single Precision Score
2783
Half Precision Score
2265
Quantized Score
Geekbench AI 1.6.1 for Android AArch64
Result Information
| Upload Date | February 06 2026 02:12 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
1119
208.1 IPS |
|
|
Image Classification (HP)
|
100% |
1545
287.3 IPS |
|
|
Image Classification (Q)
|
99% |
1441
268.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2171
35.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
3856
62.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
3134
51.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
7857
9.17 IPS |
|
|
Pose Estimation (HP)
|
99% |
14852
17.4 IPS |
|
|
Pose Estimation (Q)
|
97% |
14641
17.1 IPS |
|
|
Object Detection (SP)
|
100% |
972
77.1 IPS |
|
|
Object Detection (HP)
|
99% |
1423
112.9 IPS |
|
|
Object Detection (Q)
|
82% |
1316
106.6 IPS |
|
|
Face Detection (SP)
|
100% |
3566
42.4 IPS |
|
|
Face Detection (HP)
|
100% |
6364
75.6 IPS |
|
|
Face Detection (Q)
|
97% |
5075
60.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
4074
31.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
6276
48.5 IPS |
|
|
Depth Estimation (Q)
|
63% |
5106
47.9 IPS |
|
|
Style Transfer (SP)
|
100% |
10720
13.8 IPS |
|
|
Style Transfer (HP)
|
100% |
22385
28.8 IPS |
|
|
Style Transfer (Q)
|
98% |
21648
27.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2283
84.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3600
132.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3584
132.8 IPS |
|
|
Text Classification (SP)
|
35% |
47
455.5 IPS |
|
|
Text Classification (HP)
|
35% |
70
636.2 IPS |
|
|
Text Classification (Q)
|
35% |
68
657.9 IPS |
|
|
Machine Translation (SP)
|
100% |
765
13.2 IPS |
|
|
Machine Translation (HP)
|
97% |
983
17.0 IPS |
|
|
Machine Translation (Q)
|
49% |
300
11.3 IPS |
