Samsung Galaxy S24+
Geekbench AI Score
1521
Single Precision Score
1854
Half Precision Score
1819
Quantized Score
Geekbench AI 1.0.0 Corporate for Android AArch64
Result Information
| Upload Date | August 11 2024 07:30 PM |
| Views | 12 |
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% |
684
127.1 IPS |
|
|
Image Classification (HP)
|
100% |
771
143.4 IPS |
|
|
Image Classification (Q)
|
99% |
694
129.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
903
14.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1512
24.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
1660
27.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
3568
4.16 IPS |
|
|
Pose Estimation (HP)
|
100% |
4478
5.23 IPS |
|
|
Pose Estimation (Q)
|
96% |
4388
5.14 IPS |
|
|
Object Detection (SP)
|
100% |
893
70.9 IPS |
|
|
Object Detection (HP)
|
100% |
1023
81.2 IPS |
|
|
Object Detection (Q)
|
89% |
972
77.8 IPS |
|
|
Face Detection (SP)
|
100% |
2542
30.2 IPS |
|
|
Face Detection (HP)
|
100% |
3256
38.7 IPS |
|
|
Face Detection (Q)
|
97% |
2561
30.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
3207
24.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
3896
30.0 IPS |
|
|
Depth Estimation (Q)
|
73% |
3193
26.2 IPS |
|
|
Style Transfer (SP)
|
100% |
9225
11.9 IPS |
|
|
Style Transfer (HP)
|
100% |
13193
17.0 IPS |
|
|
Style Transfer (Q)
|
98% |
13065
16.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1717
63.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2036
75.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2040
75.6 IPS |
|
|
Text Classification (SP)
|
100% |
408
544.2 IPS |
|
|
Text Classification (HP)
|
100% |
412
549.4 IPS |
|
|
Text Classification (Q)
|
91% |
674
906.4 IPS |
|
|
Machine Translation (SP)
|
100% |
642
11.1 IPS |
|
|
Machine Translation (HP)
|
100% |
642
11.1 IPS |
|
|
Machine Translation (Q)
|
57% |
550
13.4 IPS |
