Samsung Galaxy S24
Geekbench AI Score
2313
Single Precision Score
2318
Half Precision Score
3371
Quantized Score
Geekbench AI 1.0.0 for Android AArch64
Result Information
| User | darkagarka |
| Upload Date | August 17 2024 08:57 PM |
| Views | 18 |
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% |
2255
419.3 IPS |
|
|
Image Classification (HP)
|
100% |
2226
414.0 IPS |
|
|
Image Classification (Q)
|
100% |
3550
660.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2490
40.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2379
38.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
4038
65.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
3929
4.58 IPS |
|
|
Pose Estimation (HP)
|
100% |
3928
4.58 IPS |
|
|
Pose Estimation (Q)
|
84% |
8965
10.6 IPS |
|
|
Object Detection (SP)
|
98% |
1768
140.7 IPS |
|
|
Object Detection (HP)
|
98% |
1551
123.4 IPS |
|
|
Object Detection (Q)
|
87% |
1967
157.9 IPS |
|
|
Face Detection (SP)
|
100% |
3226
38.3 IPS |
|
|
Face Detection (HP)
|
100% |
3238
38.5 IPS |
|
|
Face Detection (Q)
|
95% |
4562
54.5 IPS |
|
|
Depth Estimation (SP)
|
98% |
3134
24.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
3482
26.9 IPS |
|
|
Depth Estimation (Q)
|
75% |
5882
47.7 IPS |
|
|
Style Transfer (SP)
|
89% |
8285
10.8 IPS |
|
|
Style Transfer (HP)
|
89% |
8338
10.8 IPS |
|
|
Style Transfer (Q)
|
98% |
14626
18.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1604
59.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1676
61.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3249
120.4 IPS |
|
|
Text Classification (SP)
|
100% |
555
740.4 IPS |
|
|
Text Classification (HP)
|
99% |
589
786.7 IPS |
|
|
Text Classification (Q)
|
88% |
800
1.08 KIPS |
|
|
Machine Translation (SP)
|
100% |
1512
26.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1499
25.8 IPS |
|
|
Machine Translation (Q)
|
50% |
735
26.1 IPS |
