Samsung Galaxy S23
Geekbench AI Score
847
Single Precision Score
1084
Half Precision Score
1060
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 12 2025 10:33 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | Qualcomm Snapdragon 8 Gen 2 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| 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% |
663
123.3 IPS |
|
|
Image Classification (HP)
|
100% |
863
160.6 IPS |
|
|
Image Classification (Q)
|
96% |
883
165.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1103
17.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1397
22.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
1428
23.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
1005
1.17 IPS |
|
|
Pose Estimation (HP)
|
100% |
1437
1.68 IPS |
|
|
Pose Estimation (Q)
|
96% |
1427
1.67 IPS |
|
|
Object Detection (SP)
|
100% |
496
39.3 IPS |
|
|
Object Detection (HP)
|
100% |
518
41.1 IPS |
|
|
Object Detection (Q)
|
87% |
703
56.4 IPS |
|
|
Face Detection (SP)
|
100% |
2265
26.9 IPS |
|
|
Face Detection (HP)
|
100% |
2996
35.6 IPS |
|
|
Face Detection (Q)
|
97% |
1514
18.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
1516
11.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
2892
22.3 IPS |
|
|
Depth Estimation (Q)
|
63% |
2377
22.0 IPS |
|
|
Style Transfer (SP)
|
100% |
3862
4.96 IPS |
|
|
Style Transfer (HP)
|
100% |
8678
11.2 IPS |
|
|
Style Transfer (Q)
|
98% |
8626
11.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
441
16.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
371
13.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
366
13.6 IPS |
|
|
Text Classification (SP)
|
100% |
224
299.6 IPS |
|
|
Text Classification (HP)
|
100% |
224
299.4 IPS |
|
|
Text Classification (Q)
|
91% |
373
501.4 IPS |
|
|
Machine Translation (SP)
|
100% |
401
6.91 IPS |
|
|
Machine Translation (HP)
|
100% |
403
6.94 IPS |
|
|
Machine Translation (Q)
|
57% |
335
8.18 IPS |
