Samsung Galaxy S23
Geekbench AI Score
391
Single Precision Score
16215
Half Precision Score
36936
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 12 2025 04:45 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | QNN |
| Device | Qualcomm Snapdragon 8 Gen 2 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | Samsung Galaxy S23 |
| Model ID | samsung SM-S911U |
| 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% |
283
52.7 IPS |
|
|
Image Classification (HP)
|
100% |
12814
2.38 KIPS |
|
|
Image Classification (Q)
|
97% |
32387
6.04 KIPS |
|
|
Image Segmentation (SP)
|
100% |
335
5.43 IPS |
|
|
Image Segmentation (HP)
|
100% |
7738
125.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
21763
353.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
459
0.54 IPS |
|
|
Pose Estimation (HP)
|
100% |
65714
76.7 IPS |
|
|
Pose Estimation (Q)
|
98% |
290522
340.0 IPS |
|
|
Object Detection (SP)
|
100% |
230
18.3 IPS |
|
|
Object Detection (HP)
|
100% |
12128
962.0 IPS |
|
|
Object Detection (Q)
|
86% |
13691
1.10 KIPS |
|
|
Face Detection (SP)
|
100% |
570
6.77 IPS |
|
|
Face Detection (HP)
|
100% |
25110
298.4 IPS |
|
|
Face Detection (Q)
|
97% |
86543
1.03 KIPS |
|
|
Depth Estimation (SP)
|
100% |
501
3.86 IPS |
|
|
Depth Estimation (HP)
|
99% |
44716
344.5 IPS |
|
|
Depth Estimation (Q)
|
63% |
81883
766.7 IPS |
|
|
Style Transfer (SP)
|
100% |
742
0.95 IPS |
|
|
Style Transfer (HP)
|
98% |
60102
77.5 IPS |
|
|
Style Transfer (Q)
|
98% |
292863
377.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
235
8.68 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
32691
1.21 KIPS |
|
|
Image Super-Resolution (Q)
|
97% |
81963
3.04 KIPS |
|
|
Text Classification (SP)
|
100% |
352
469.3 IPS |
|
|
Text Classification (HP)
|
100% |
2521
3.37 KIPS |
|
|
Text Classification (Q)
|
93% |
5597
7.51 KIPS |
|
|
Machine Translation (SP)
|
100% |
481
8.29 IPS |
|
|
Machine Translation (HP)
|
100% |
2860
49.3 IPS |
|
|
Machine Translation (Q)
|
55% |
1771
46.4 IPS |
