Samsung Galaxy S24
Geekbench AI Score
3610
Single Precision Score
25043
Half Precision Score
47355
Quantized Score
Geekbench AI 1.2.0 Corporate for Android AArch64
Result Information
| Upload Date | December 10 2024 01:27 PM |
| 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% |
1624
301.9 IPS |
|
|
Image Classification (HP)
|
100% |
17162
3.19 KIPS |
|
|
Image Classification (Q)
|
100% |
33050
6.15 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3080
49.9 IPS |
|
|
Image Segmentation (HP)
|
97% |
12428
202.2 IPS |
|
|
Image Segmentation (Q)
|
96% |
28605
465.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
15331
17.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
87241
101.8 IPS |
|
|
Pose Estimation (Q)
|
97% |
302581
354.3 IPS |
|
|
Object Detection (SP)
|
100% |
1591
126.2 IPS |
|
|
Object Detection (HP)
|
100% |
14074
1.12 KIPS |
|
|
Object Detection (Q)
|
90% |
23945
1.92 KIPS |
|
|
Face Detection (SP)
|
100% |
5172
61.5 IPS |
|
|
Face Detection (HP)
|
100% |
40266
478.4 IPS |
|
|
Face Detection (Q)
|
97% |
101018
1.20 KIPS |
|
|
Depth Estimation (SP)
|
100% |
5731
44.2 IPS |
|
|
Depth Estimation (HP)
|
79% |
56824
451.2 IPS |
|
|
Depth Estimation (Q)
|
62% |
105970
1.02 KIPS |
|
|
Style Transfer (SP)
|
100% |
29910
38.5 IPS |
|
|
Style Transfer (HP)
|
99% |
174152
223.9 IPS |
|
|
Style Transfer (Q)
|
98% |
277266
357.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4205
155.3 IPS |
|
|
Image Super-Resolution (HP)
|
83% |
22675
852.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
58587
2.17 KIPS |
|
|
Text Classification (SP)
|
100% |
642
856.6 IPS |
|
|
Text Classification (HP)
|
100% |
6858
9.15 KIPS |
|
|
Text Classification (Q)
|
93% |
8496
11.4 KIPS |
|
|
Machine Translation (SP)
|
100% |
1288
22.2 IPS |
|
|
Machine Translation (HP)
|
100% |
5979
103.0 IPS |
|
|
Machine Translation (Q)
|
56% |
5604
143.8 IPS |
