Samsung Galaxy S24+
Geekbench AI Score
1416
Single Precision Score
1721
Half Precision Score
1658
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | December 26 2024 09:06 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-S926B |
| 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% |
823
153.1 IPS |
|
|
Image Classification (HP)
|
100% |
980
182.2 IPS |
|
|
Image Classification (Q)
|
99% |
854
159.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1374
22.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1747
28.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
1725
28.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
2778
3.24 IPS |
|
|
Pose Estimation (HP)
|
100% |
3402
3.97 IPS |
|
|
Pose Estimation (Q)
|
96% |
3333
3.90 IPS |
|
|
Object Detection (SP)
|
100% |
750
59.5 IPS |
|
|
Object Detection (HP)
|
100% |
971
77.1 IPS |
|
|
Object Detection (Q)
|
86% |
913
73.4 IPS |
|
|
Face Detection (SP)
|
100% |
2241
26.6 IPS |
|
|
Face Detection (HP)
|
100% |
2583
30.7 IPS |
|
|
Face Detection (Q)
|
97% |
2155
25.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
2473
19.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
3213
24.8 IPS |
|
|
Depth Estimation (Q)
|
63% |
2510
23.5 IPS |
|
|
Style Transfer (SP)
|
100% |
7159
9.20 IPS |
|
|
Style Transfer (HP)
|
100% |
10170
13.1 IPS |
|
|
Style Transfer (Q)
|
98% |
10127
13.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1282
47.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1812
66.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1805
66.9 IPS |
|
|
Text Classification (SP)
|
100% |
419
559.4 IPS |
|
|
Text Classification (HP)
|
100% |
420
560.9 IPS |
|
|
Text Classification (Q)
|
91% |
656
881.2 IPS |
|
|
Machine Translation (SP)
|
100% |
646
11.1 IPS |
|
|
Machine Translation (HP)
|
100% |
631
10.9 IPS |
|
|
Machine Translation (Q)
|
57% |
540
13.2 IPS |
