Samsung Galaxy S24+
Geekbench AI Score
513
Single Precision Score
513
Half Precision Score
1172
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | March 31 2025 01:41 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | Qualcomm Snapdragon 8 Gen 3 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| 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% |
312
58.1 IPS |
|
|
Image Classification (HP)
|
100% |
312
58.0 IPS |
|
|
Image Classification (Q)
|
99% |
824
153.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
396
6.41 IPS |
|
|
Image Segmentation (HP)
|
100% |
399
6.47 IPS |
|
|
Image Segmentation (Q)
|
98% |
808
13.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
538
0.63 IPS |
|
|
Pose Estimation (HP)
|
100% |
524
0.61 IPS |
|
|
Pose Estimation (Q)
|
98% |
2059
2.41 IPS |
|
|
Object Detection (SP)
|
100% |
300
23.8 IPS |
|
|
Object Detection (HP)
|
100% |
302
23.9 IPS |
|
|
Object Detection (Q)
|
87% |
871
69.9 IPS |
|
|
Face Detection (SP)
|
100% |
736
8.75 IPS |
|
|
Face Detection (HP)
|
100% |
746
8.86 IPS |
|
|
Face Detection (Q)
|
97% |
1757
21.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
651
5.02 IPS |
|
|
Depth Estimation (HP)
|
99% |
659
5.08 IPS |
|
|
Depth Estimation (Q)
|
64% |
1566
14.2 IPS |
|
|
Style Transfer (SP)
|
100% |
1054
1.35 IPS |
|
|
Style Transfer (HP)
|
100% |
1058
1.36 IPS |
|
|
Style Transfer (Q)
|
98% |
2618
3.38 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
363
13.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
363
13.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1187
44.0 IPS |
|
|
Text Classification (SP)
|
100% |
478
637.6 IPS |
|
|
Text Classification (HP)
|
100% |
475
634.0 IPS |
|
|
Text Classification (Q)
|
91% |
773
1.04 KIPS |
|
|
Machine Translation (SP)
|
100% |
729
12.6 IPS |
|
|
Machine Translation (HP)
|
100% |
725
12.5 IPS |
|
|
Machine Translation (Q)
|
57% |
623
15.2 IPS |
