Samsung Galaxy S24+
Geekbench AI Score
1381
Single Precision Score
1659
Half Precision Score
1632
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | September 19 2024 12:41 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | Samsung Exynos 2400 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | Samsung Galaxy S24+ |
| Model ID | samsung SM-S926N |
| Motherboard | s5e9945 |
| Governor | energy_aware |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 10 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 0 part 3458 revision 1 |
| Base Frequency | 1.96 GHz |
| Cluster 1 | 4 Cores @ 1.96 GHz |
| Cluster 2 | 3 Cores @ 2.59 GHz |
| Cluster 3 | 2 Cores @ 2.90 GHz |
| Cluster 4 | 1 Core @ 3.21 GHz |
| Memory Information | |
|---|---|
| Size | 10.95 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
605
112.4 IPS |
|
|
Image Classification (HP)
|
100% |
677
125.9 IPS |
|
|
Image Classification (Q)
|
99% |
732
136.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1289
20.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1716
27.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
1595
25.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
2700
3.15 IPS |
|
|
Pose Estimation (HP)
|
100% |
3321
3.88 IPS |
|
|
Pose Estimation (Q)
|
96% |
3256
3.81 IPS |
|
|
Object Detection (SP)
|
100% |
756
59.9 IPS |
|
|
Object Detection (HP)
|
100% |
929
73.7 IPS |
|
|
Object Detection (Q)
|
86% |
924
74.3 IPS |
|
|
Face Detection (SP)
|
100% |
2388
28.4 IPS |
|
|
Face Detection (HP)
|
100% |
2871
34.1 IPS |
|
|
Face Detection (Q)
|
97% |
2360
28.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
2574
19.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
3228
24.9 IPS |
|
|
Depth Estimation (Q)
|
63% |
2590
24.2 IPS |
|
|
Style Transfer (SP)
|
100% |
7098
9.12 IPS |
|
|
Style Transfer (HP)
|
100% |
9896
12.7 IPS |
|
|
Style Transfer (Q)
|
98% |
9939
12.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1366
50.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1785
65.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1773
65.7 IPS |
|
|
Text Classification (SP)
|
100% |
418
557.6 IPS |
|
|
Text Classification (HP)
|
100% |
418
557.8 IPS |
|
|
Text Classification (Q)
|
91% |
655
880.5 IPS |
|
|
Machine Translation (SP)
|
100% |
637
11.0 IPS |
|
|
Machine Translation (HP)
|
100% |
647
11.1 IPS |
|
|
Machine Translation (Q)
|
57% |
542
13.2 IPS |
