Samsung Galaxy S23 Plus
Geekbench AI Score
1544
Single Precision Score
2409
Half Precision Score
2033
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | October 22 2025 06:34 PM |
| 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 Plus |
| Model ID | samsung SM-S916W |
| 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% |
1028
191.1 IPS |
|
|
Image Classification (HP)
|
100% |
1631
303.3 IPS |
|
|
Image Classification (Q)
|
99% |
1495
278.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1961
31.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
3423
55.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
3384
55.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
7457
8.70 IPS |
|
|
Pose Estimation (HP)
|
99% |
13218
15.5 IPS |
|
|
Pose Estimation (Q)
|
97% |
12975
15.2 IPS |
|
|
Object Detection (SP)
|
100% |
871
69.1 IPS |
|
|
Object Detection (HP)
|
99% |
1277
101.3 IPS |
|
|
Object Detection (Q)
|
82% |
1190
96.4 IPS |
|
|
Face Detection (SP)
|
100% |
3272
38.9 IPS |
|
|
Face Detection (HP)
|
100% |
5306
63.0 IPS |
|
|
Face Detection (Q)
|
97% |
4282
51.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
3702
28.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
5424
41.9 IPS |
|
|
Depth Estimation (Q)
|
63% |
4441
41.7 IPS |
|
|
Style Transfer (SP)
|
100% |
9503
12.2 IPS |
|
|
Style Transfer (HP)
|
100% |
19782
25.4 IPS |
|
|
Style Transfer (Q)
|
98% |
19377
25.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1996
73.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3026
111.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3298
122.2 IPS |
|
|
Text Classification (SP)
|
35% |
38
367.2 IPS |
|
|
Text Classification (HP)
|
35% |
53
485.9 IPS |
|
|
Text Classification (Q)
|
35% |
48
468.1 IPS |
|
|
Machine Translation (SP)
|
100% |
674
11.6 IPS |
|
|
Machine Translation (HP)
|
97% |
767
13.3 IPS |
|
|
Machine Translation (Q)
|
49% |
265
9.96 IPS |
