Samsung Galaxy S24
Geekbench AI Score
3607
Single Precision Score
25160
Half Precision Score
47314
Quantized Score
Geekbench AI 1.2.0 Corporate for Android AArch64
Result Information
| Upload Date | December 13 2024 10:25 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | ENN |
| Device | Samsung Exynos 2400 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | Samsung Galaxy S24 |
| Model ID | samsung SM-S921B |
| 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 | 6.82 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1632
303.5 IPS |
|
|
Image Classification (HP)
|
100% |
17167
3.19 KIPS |
|
|
Image Classification (Q)
|
100% |
33344
6.20 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3055
49.5 IPS |
|
|
Image Segmentation (HP)
|
97% |
12485
203.1 IPS |
|
|
Image Segmentation (Q)
|
96% |
28623
465.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
15367
17.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
87814
102.5 IPS |
|
|
Pose Estimation (Q)
|
97% |
302858
354.7 IPS |
|
|
Object Detection (SP)
|
100% |
1593
126.3 IPS |
|
|
Object Detection (HP)
|
100% |
14044
1.11 KIPS |
|
|
Object Detection (Q)
|
90% |
24056
1.92 KIPS |
|
|
Face Detection (SP)
|
100% |
5202
61.8 IPS |
|
|
Face Detection (HP)
|
100% |
40288
478.7 IPS |
|
|
Face Detection (Q)
|
97% |
101221
1.21 KIPS |
|
|
Depth Estimation (SP)
|
100% |
5701
43.9 IPS |
|
|
Depth Estimation (HP)
|
79% |
56982
452.5 IPS |
|
|
Depth Estimation (Q)
|
62% |
107070
1.03 KIPS |
|
|
Style Transfer (SP)
|
100% |
30069
38.7 IPS |
|
|
Style Transfer (HP)
|
99% |
171494
220.5 IPS |
|
|
Style Transfer (Q)
|
98% |
269587
347.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4202
155.2 IPS |
|
|
Image Super-Resolution (HP)
|
83% |
22820
858.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
59388
2.20 KIPS |
|
|
Text Classification (SP)
|
100% |
642
856.3 IPS |
|
|
Text Classification (HP)
|
100% |
7029
9.38 KIPS |
|
|
Text Classification (Q)
|
93% |
8252
11.1 KIPS |
|
|
Machine Translation (SP)
|
100% |
1272
21.9 IPS |
|
|
Machine Translation (HP)
|
100% |
6092
104.9 IPS |
|
|
Machine Translation (Q)
|
56% |
5647
144.9 IPS |
