Samsung Galaxy S24+
Geekbench AI Score
3534
Single Precision Score
24973
Half Precision Score
47072
Quantized Score
Geekbench AI 1.5.0-Beta1 Corporate for Android AArch64
Result Information
| Upload Date | September 02 2025 05:20 PM |
| Views | 2 |
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% |
1621
301.4 IPS |
|
|
Image Classification (HP)
|
100% |
16491
3.07 KIPS |
|
|
Image Classification (Q)
|
100% |
32472
6.04 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3038
49.3 IPS |
|
|
Image Segmentation (HP)
|
97% |
12164
197.9 IPS |
|
|
Image Segmentation (Q)
|
96% |
27967
455.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
14378
16.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
87577
102.2 IPS |
|
|
Pose Estimation (Q)
|
97% |
302355
354.1 IPS |
|
|
Object Detection (SP)
|
100% |
1584
125.7 IPS |
|
|
Object Detection (HP)
|
100% |
14090
1.12 KIPS |
|
|
Object Detection (Q)
|
90% |
24057
1.92 KIPS |
|
|
Face Detection (SP)
|
100% |
4927
58.5 IPS |
|
|
Face Detection (HP)
|
100% |
40073
476.2 IPS |
|
|
Face Detection (Q)
|
97% |
99446
1.19 KIPS |
|
|
Depth Estimation (SP)
|
100% |
5656
43.6 IPS |
|
|
Depth Estimation (HP)
|
79% |
56452
448.3 IPS |
|
|
Depth Estimation (Q)
|
62% |
107152
1.03 KIPS |
|
|
Style Transfer (SP)
|
100% |
29042
37.3 IPS |
|
|
Style Transfer (HP)
|
99% |
170713
219.5 IPS |
|
|
Style Transfer (Q)
|
98% |
267495
345.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4122
152.2 IPS |
|
|
Image Super-Resolution (HP)
|
82% |
22575
852.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
59441
2.20 KIPS |
|
|
Text Classification (SP)
|
100% |
641
856.0 IPS |
|
|
Text Classification (HP)
|
100% |
7120
9.50 KIPS |
|
|
Text Classification (Q)
|
93% |
8488
11.4 KIPS |
|
|
Machine Translation (SP)
|
100% |
1267
21.8 IPS |
|
|
Machine Translation (HP)
|
100% |
6141
105.8 IPS |
|
|
Machine Translation (Q)
|
56% |
5623
144.2 IPS |
