Samsung Galaxy S23
Geekbench AI Score
458
Single Precision Score
16457
Half Precision Score
37418
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 11 2025 01:32 AM |
| Views | 1 |
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-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% |
295
54.8 IPS |
|
|
Image Classification (HP)
|
100% |
12821
2.38 KIPS |
|
|
Image Classification (Q)
|
97% |
32361
6.04 KIPS |
|
|
Image Segmentation (SP)
|
100% |
356
5.77 IPS |
|
|
Image Segmentation (HP)
|
100% |
7778
126.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
21821
354.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
478
0.56 IPS |
|
|
Pose Estimation (HP)
|
100% |
70480
82.2 IPS |
|
|
Pose Estimation (Q)
|
98% |
295389
345.7 IPS |
|
|
Object Detection (SP)
|
100% |
272
21.6 IPS |
|
|
Object Detection (HP)
|
100% |
12194
967.3 IPS |
|
|
Object Detection (Q)
|
86% |
13868
1.12 KIPS |
|
|
Face Detection (SP)
|
100% |
671
7.97 IPS |
|
|
Face Detection (HP)
|
100% |
25336
301.0 IPS |
|
|
Face Detection (Q)
|
97% |
88425
1.05 KIPS |
|
|
Depth Estimation (SP)
|
100% |
583
4.49 IPS |
|
|
Depth Estimation (HP)
|
99% |
45034
347.0 IPS |
|
|
Depth Estimation (Q)
|
63% |
82448
772.0 IPS |
|
|
Style Transfer (SP)
|
100% |
902
1.16 IPS |
|
|
Style Transfer (HP)
|
98% |
60719
78.3 IPS |
|
|
Style Transfer (Q)
|
98% |
294305
379.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
307
11.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
32745
1.21 KIPS |
|
|
Image Super-Resolution (Q)
|
97% |
82267
3.05 KIPS |
|
|
Text Classification (SP)
|
100% |
424
565.9 IPS |
|
|
Text Classification (HP)
|
100% |
2534
3.38 KIPS |
|
|
Text Classification (Q)
|
93% |
5688
7.63 KIPS |
|
|
Machine Translation (SP)
|
100% |
660
11.4 IPS |
|
|
Machine Translation (HP)
|
100% |
2958
50.9 IPS |
|
|
Machine Translation (Q)
|
55% |
1853
48.5 IPS |
