Samsung Galaxy S24
Geekbench AI Score
1945
Single Precision Score
1980
Half Precision Score
2761
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | November 24 2024 09:04 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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 | 7.06 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1695
315.2 IPS |
|
|
Image Classification (HP)
|
100% |
2082
387.2 IPS |
|
|
Image Classification (Q)
|
100% |
2841
528.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2146
34.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2262
36.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
3570
58.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
3303
3.85 IPS |
|
|
Pose Estimation (HP)
|
100% |
3292
3.84 IPS |
|
|
Pose Estimation (Q)
|
84% |
7611
9.03 IPS |
|
|
Object Detection (SP)
|
98% |
1541
122.6 IPS |
|
|
Object Detection (HP)
|
98% |
1319
104.9 IPS |
|
|
Object Detection (Q)
|
83% |
1919
155.0 IPS |
|
|
Face Detection (SP)
|
100% |
3051
36.3 IPS |
|
|
Face Detection (HP)
|
100% |
3046
36.2 IPS |
|
|
Face Detection (Q)
|
95% |
4165
49.7 IPS |
|
|
Depth Estimation (SP)
|
99% |
2746
21.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
2535
19.6 IPS |
|
|
Depth Estimation (Q)
|
64% |
3776
34.6 IPS |
|
|
Style Transfer (SP)
|
89% |
6301
8.18 IPS |
|
|
Style Transfer (HP)
|
89% |
6268
8.14 IPS |
|
|
Style Transfer (Q)
|
98% |
11100
14.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1251
46.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1549
57.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2614
96.9 IPS |
|
|
Text Classification (SP)
|
100% |
483
645.3 IPS |
|
|
Text Classification (HP)
|
99% |
492
656.2 IPS |
|
|
Text Classification (Q)
|
88% |
731
986.3 IPS |
|
|
Machine Translation (SP)
|
100% |
1314
22.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1233
21.2 IPS |
|
|
Machine Translation (Q)
|
50% |
521
18.5 IPS |
