Samsung Galaxy S24
Geekbench AI Score
237
Single Precision Score
247
Half Precision Score
701
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | September 21 2024 08:23 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | Samsung Exynos 2400 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | Samsung Galaxy S24 |
| Model ID | samsung SM-S921N |
| 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 | 7.06 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
161
29.9 IPS |
|
|
Image Classification (HP)
|
100% |
162
30.1 IPS |
|
|
Image Classification (Q)
|
99% |
400
74.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
874
14.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1412
22.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
380
6.19 IPS |
|
|
Pose Estimation (SP)
|
0
|
||
|
Pose Estimation (HP)
|
0
|
||
|
Pose Estimation (Q)
|
98% |
1246
1.46 IPS |
|
|
Object Detection (SP)
|
100% |
181
14.3 IPS |
|
|
Object Detection (HP)
|
100% |
172
13.6 IPS |
|
|
Object Detection (Q)
|
87% |
496
39.8 IPS |
|
|
Face Detection (SP)
|
100% |
480
5.70 IPS |
|
|
Face Detection (HP)
|
100% |
485
5.76 IPS |
|
|
Face Detection (Q)
|
97% |
1070
12.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
426
3.28 IPS |
|
|
Depth Estimation (HP)
|
99% |
427
3.29 IPS |
|
|
Depth Estimation (Q)
|
64% |
874
7.93 IPS |
|
|
Style Transfer (SP)
|
100% |
675
0.87 IPS |
|
|
Style Transfer (HP)
|
100% |
577
0.74 IPS |
|
|
Style Transfer (Q)
|
98% |
1339
1.73 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
798
29.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
871
32.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
826
30.6 IPS |
|
|
Text Classification (SP)
|
100% |
332
442.9 IPS |
|
|
Text Classification (HP)
|
100% |
345
459.9 IPS |
|
|
Text Classification (Q)
|
91% |
566
760.8 IPS |
|
|
Machine Translation (SP)
|
100% |
625
10.8 IPS |
|
|
Machine Translation (HP)
|
100% |
611
10.5 IPS |
|
|
Machine Translation (Q)
|
57% |
525
12.8 IPS |
