Samsung Galaxy S24+
Geekbench AI Score
3518
Single Precision Score
25097
Half Precision Score
46286
Quantized Score
Geekbench AI 1.2.0 Corporate for Android AArch64
Result Information
| Upload Date | December 13 2024 07:30 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | ENN |
| Device | Samsung Exynos 2400 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | Samsung Galaxy S24+ |
| Model ID | samsung SM-S926B |
| 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 | 10.70 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1605
298.4 IPS |
|
|
Image Classification (HP)
|
100% |
17136
3.19 KIPS |
|
|
Image Classification (Q)
|
100% |
32819
6.10 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3116
50.5 IPS |
|
|
Image Segmentation (HP)
|
97% |
12504
203.4 IPS |
|
|
Image Segmentation (Q)
|
96% |
27972
455.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
14770
17.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
88154
102.9 IPS |
|
|
Pose Estimation (Q)
|
97% |
300710
352.1 IPS |
|
|
Object Detection (SP)
|
100% |
1557
123.5 IPS |
|
|
Object Detection (HP)
|
100% |
13972
1.11 KIPS |
|
|
Object Detection (Q)
|
90% |
21166
1.69 KIPS |
|
|
Face Detection (SP)
|
100% |
4934
58.6 IPS |
|
|
Face Detection (HP)
|
100% |
39901
474.1 IPS |
|
|
Face Detection (Q)
|
97% |
101442
1.21 KIPS |
|
|
Depth Estimation (SP)
|
100% |
5564
42.9 IPS |
|
|
Depth Estimation (HP)
|
79% |
56655
449.9 IPS |
|
|
Depth Estimation (Q)
|
62% |
104754
1.00 KIPS |
|
|
Style Transfer (SP)
|
100% |
28545
36.7 IPS |
|
|
Style Transfer (HP)
|
99% |
173108
222.5 IPS |
|
|
Style Transfer (Q)
|
98% |
267664
345.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4056
149.8 IPS |
|
|
Image Super-Resolution (HP)
|
82% |
22833
860.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
59381
2.20 KIPS |
|
|
Text Classification (SP)
|
100% |
636
848.7 IPS |
|
|
Text Classification (HP)
|
100% |
6869
9.17 KIPS |
|
|
Text Classification (Q)
|
93% |
8145
10.9 KIPS |
|
|
Machine Translation (SP)
|
100% |
1252
21.6 IPS |
|
|
Machine Translation (HP)
|
100% |
6122
105.4 IPS |
|
|
Machine Translation (Q)
|
56% |
5616
144.1 IPS |
