Samsung Galaxy S24
Geekbench AI Score
455
Single Precision Score
448
Half Precision Score
1036
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 19 2025 04:57 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | ENN |
| Device | Samsung Exynos 2400 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| 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 | 7.06 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
290
54.0 IPS |
|
|
Image Classification (HP)
|
100% |
278
51.8 IPS |
|
|
Image Classification (Q)
|
99% |
732
136.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
365
5.91 IPS |
|
|
Image Segmentation (HP)
|
100% |
350
5.68 IPS |
|
|
Image Segmentation (Q)
|
98% |
728
11.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
480
0.56 IPS |
|
|
Pose Estimation (HP)
|
100% |
471
0.55 IPS |
|
|
Pose Estimation (Q)
|
98% |
1780
2.08 IPS |
|
|
Object Detection (SP)
|
100% |
277
22.0 IPS |
|
|
Object Detection (HP)
|
100% |
281
22.3 IPS |
|
|
Object Detection (Q)
|
87% |
774
62.1 IPS |
|
|
Face Detection (SP)
|
100% |
657
7.81 IPS |
|
|
Face Detection (HP)
|
100% |
651
7.73 IPS |
|
|
Face Detection (Q)
|
97% |
1698
20.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
571
4.40 IPS |
|
|
Depth Estimation (HP)
|
99% |
561
4.32 IPS |
|
|
Depth Estimation (Q)
|
64% |
1316
11.9 IPS |
|
|
Style Transfer (SP)
|
100% |
923
1.19 IPS |
|
|
Style Transfer (HP)
|
100% |
915
1.18 IPS |
|
|
Style Transfer (Q)
|
98% |
2231
2.88 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
286
10.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
286
10.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1080
40.0 IPS |
|
|
Text Classification (SP)
|
100% |
431
575.3 IPS |
|
|
Text Classification (HP)
|
100% |
433
577.8 IPS |
|
|
Text Classification (Q)
|
91% |
713
958.0 IPS |
|
|
Machine Translation (SP)
|
100% |
637
11.0 IPS |
|
|
Machine Translation (HP)
|
100% |
612
10.5 IPS |
|
|
Machine Translation (Q)
|
57% |
510
12.5 IPS |
