Samsung Galaxy S24
Geekbench AI Score
257
Single Precision Score
255
Half Precision Score
788
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| User | paz_levi |
| Upload Date | August 27 2025 05:39 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| 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% |
287
53.4 IPS |
|
|
Image Classification (HP)
|
100% |
277
51.5 IPS |
|
|
Image Classification (Q)
|
99% |
717
133.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
799
13.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1101
17.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
754
12.3 IPS |
|
|
Pose Estimation (SP)
|
0
|
||
|
Pose Estimation (HP)
|
0
|
||
|
Pose Estimation (Q)
|
98% |
1941
2.27 IPS |
|
|
Object Detection (SP)
|
100% |
250
19.9 IPS |
|
|
Object Detection (HP)
|
100% |
227
18.0 IPS |
|
|
Object Detection (Q)
|
87% |
595
47.7 IPS |
|
|
Face Detection (SP)
|
100% |
541
6.42 IPS |
|
|
Face Detection (HP)
|
100% |
547
6.50 IPS |
|
|
Face Detection (Q)
|
97% |
1286
15.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
485
3.74 IPS |
|
|
Depth Estimation (HP)
|
99% |
465
3.58 IPS |
|
|
Depth Estimation (Q)
|
64% |
1058
9.60 IPS |
|
|
Style Transfer (SP)
|
100% |
741
0.95 IPS |
|
|
Style Transfer (HP)
|
100% |
576
0.74 IPS |
|
|
Style Transfer (Q)
|
98% |
1351
1.74 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1141
42.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1149
42.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
612
22.7 IPS |
|
|
Text Classification (SP)
|
100% |
231
308.4 IPS |
|
|
Text Classification (HP)
|
100% |
231
308.2 IPS |
|
|
Text Classification (Q)
|
91% |
384
516.0 IPS |
|
|
Machine Translation (SP)
|
100% |
436
7.51 IPS |
|
|
Machine Translation (HP)
|
100% |
439
7.56 IPS |
|
|
Machine Translation (Q)
|
57% |
346
8.47 IPS |
