Samsung Galaxy S24+
Geekbench AI Score
2933
Single Precision Score
11128
Half Precision Score
17269
Quantized Score
Geekbench AI 1.0.0 Corporate for Android AArch64
Result Information
| Upload Date | August 11 2024 08:46 PM |
| Views | 23 |
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-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% |
1444
268.5 IPS |
|
|
Image Classification (HP)
|
100% |
8716
1.62 KIPS |
|
|
Image Classification (Q)
|
97% |
25085
4.68 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2393
38.8 IPS |
|
|
Image Segmentation (HP)
|
78% |
7411
124.2 IPS |
|
|
Image Segmentation (Q)
|
95% |
27373
445.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
13621
15.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
78124
91.2 IPS |
|
|
Pose Estimation (Q)
|
76% |
287101
349.1 IPS |
|
|
Object Detection (SP)
|
100% |
1586
125.8 IPS |
|
|
Object Detection (HP)
|
100% |
7442
590.3 IPS |
|
|
Object Detection (Q)
|
89% |
799
63.9 IPS |
|
|
Face Detection (SP)
|
100% |
4056
48.2 IPS |
|
|
Face Detection (HP)
|
100% |
20525
243.9 IPS |
|
|
Face Detection (Q)
|
97% |
54477
649.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5123
39.5 IPS |
|
|
Depth Estimation (HP)
|
73% |
44551
363.9 IPS |
|
|
Depth Estimation (Q)
|
82% |
90087
708.5 IPS |
|
|
Style Transfer (SP)
|
100% |
15841
20.4 IPS |
|
|
Style Transfer (HP)
|
99% |
141306
181.7 IPS |
|
|
Style Transfer (Q)
|
79% |
237985
315.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3833
141.5 IPS |
|
|
Image Super-Resolution (HP)
|
81% |
15550
587.7 IPS |
|
|
Image Super-Resolution (Q)
|
83% |
30084
1.13 KIPS |
|
|
Text Classification (SP)
|
100% |
415
554.5 IPS |
|
|
Text Classification (HP)
|
100% |
419
558.8 IPS |
|
|
Text Classification (Q)
|
91% |
681
915.3 IPS |
|
|
Machine Translation (SP)
|
100% |
1207
20.8 IPS |
|
|
Machine Translation (HP)
|
99% |
921
15.9 IPS |
|
|
Machine Translation (Q)
|
59% |
626
14.4 IPS |
