Samsung Galaxy S24+
Geekbench AI Score
1721
Single Precision Score
2658
Half Precision Score
2055
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | December 11 2025 06:28 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | Qualcomm Snapdragon 8 Gen 3 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| Model | Samsung Galaxy S24+ |
| Model ID | samsung SM-S926U |
| Motherboard | pineapple |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 0 part 3458 revision 1 |
| Base Frequency | 2.26 GHz |
| Cluster 1 | 2 Cores @ 2.27 GHz |
| Cluster 2 | 2 Cores @ 2.96 GHz |
| Cluster 3 | 3 Cores @ 3.15 GHz |
| Cluster 4 | 1 Core @ 3.40 GHz |
| Memory Information | |
|---|---|
| Size | 10.83 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1151
214.0 IPS |
|
|
Image Classification (HP)
|
100% |
1489
277.0 IPS |
|
|
Image Classification (Q)
|
100% |
1346
250.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2247
36.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
3836
62.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
3111
50.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
8369
9.77 IPS |
|
|
Pose Estimation (HP)
|
99% |
15554
18.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
14829
17.4 IPS |
|
|
Object Detection (SP)
|
100% |
956
75.8 IPS |
|
|
Object Detection (HP)
|
99% |
1593
126.4 IPS |
|
|
Object Detection (Q)
|
87% |
1402
112.6 IPS |
|
|
Face Detection (SP)
|
100% |
3839
45.6 IPS |
|
|
Face Detection (HP)
|
100% |
6077
72.2 IPS |
|
|
Face Detection (Q)
|
97% |
4902
58.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
4292
33.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
6440
49.8 IPS |
|
|
Depth Estimation (Q)
|
61% |
4908
48.3 IPS |
|
|
Style Transfer (SP)
|
100% |
10474
13.5 IPS |
|
|
Style Transfer (HP)
|
100% |
21455
27.6 IPS |
|
|
Style Transfer (Q)
|
98% |
22319
28.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2301
85.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3808
140.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3695
136.9 IPS |
|
|
Text Classification (SP)
|
35% |
39
377.0 IPS |
|
|
Text Classification (HP)
|
35% |
52
469.5 IPS |
|
|
Text Classification (Q)
|
33% |
38
454.7 IPS |
|
|
Machine Translation (SP)
|
100% |
712
12.3 IPS |
|
|
Machine Translation (HP)
|
97% |
750
13.0 IPS |
|
|
Machine Translation (Q)
|
43% |
205
11.7 IPS |
