Samsung Galaxy S24+
Geekbench AI Score
2797
Single Precision Score
2767
Half Precision Score
4410
Quantized Score
Geekbench AI 1.0.0 Corporate for Android AArch64
Result Information
| Upload Date | August 15 2024 03:36 AM |
| Views | 21 |
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-S926N |
| 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 | 10.95 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2280
423.9 IPS |
|
|
Image Classification (HP)
|
100% |
2275
423.2 IPS |
|
|
Image Classification (Q)
|
100% |
3525
655.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2614
42.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2576
41.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
3960
64.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
4237
4.94 IPS |
|
|
Pose Estimation (HP)
|
100% |
4146
4.84 IPS |
|
|
Pose Estimation (Q)
|
84% |
9518
11.3 IPS |
|
|
Object Detection (SP)
|
98% |
2140
170.3 IPS |
|
|
Object Detection (HP)
|
98% |
2144
170.6 IPS |
|
|
Object Detection (Q)
|
87% |
3153
253.2 IPS |
|
|
Face Detection (SP)
|
100% |
4171
49.6 IPS |
|
|
Face Detection (HP)
|
100% |
4127
49.0 IPS |
|
|
Face Detection (Q)
|
95% |
7514
89.7 IPS |
|
|
Depth Estimation (SP)
|
98% |
3649
28.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
3721
28.7 IPS |
|
|
Depth Estimation (Q)
|
75% |
7742
62.8 IPS |
|
|
Style Transfer (SP)
|
89% |
10379
13.5 IPS |
|
|
Style Transfer (HP)
|
89% |
10302
13.4 IPS |
|
|
Style Transfer (Q)
|
98% |
20817
26.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2222
82.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2157
79.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4832
179.1 IPS |
|
|
Text Classification (SP)
|
100% |
877
1.17 KIPS |
|
|
Text Classification (HP)
|
99% |
868
1.16 KIPS |
|
|
Text Classification (Q)
|
88% |
1218
1.64 KIPS |
|
|
Machine Translation (SP)
|
100% |
1762
30.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1708
29.4 IPS |
|
|
Machine Translation (Q)
|
50% |
933
33.1 IPS |
