Samsung Galaxy S24+
Geekbench AI Score
3533
Single Precision Score
25063
Half Precision Score
45991
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | December 13 2024 06:38 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | ENN |
| Device | Samsung Exynos 2400 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| 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 | 6.81 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1600
297.5 IPS |
|
|
Image Classification (HP)
|
100% |
17027
3.17 KIPS |
|
|
Image Classification (Q)
|
100% |
32531
6.05 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3040
49.3 IPS |
|
|
Image Segmentation (HP)
|
97% |
12497
203.3 IPS |
|
|
Image Segmentation (Q)
|
96% |
28600
465.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
14693
17.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
87864
102.5 IPS |
|
|
Pose Estimation (Q)
|
97% |
303430
355.3 IPS |
|
|
Object Detection (SP)
|
100% |
1586
125.8 IPS |
|
|
Object Detection (HP)
|
100% |
14038
1.11 KIPS |
|
|
Object Detection (Q)
|
90% |
21024
1.68 KIPS |
|
|
Face Detection (SP)
|
100% |
5092
60.5 IPS |
|
|
Face Detection (HP)
|
100% |
39704
471.8 IPS |
|
|
Face Detection (Q)
|
97% |
101447
1.21 KIPS |
|
|
Depth Estimation (SP)
|
100% |
5590
43.1 IPS |
|
|
Depth Estimation (HP)
|
79% |
56989
452.6 IPS |
|
|
Depth Estimation (Q)
|
62% |
106908
1.03 KIPS |
|
|
Style Transfer (SP)
|
100% |
29475
37.9 IPS |
|
|
Style Transfer (HP)
|
99% |
171550
221.2 IPS |
|
|
Style Transfer (Q)
|
98% |
266827
344.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4139
152.8 IPS |
|
|
Image Super-Resolution (HP)
|
82% |
22819
860.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
58722
2.18 KIPS |
|
|
Text Classification (SP)
|
100% |
611
815.1 IPS |
|
|
Text Classification (HP)
|
100% |
6852
9.15 KIPS |
|
|
Text Classification (Q)
|
93% |
7317
9.82 KIPS |
|
|
Machine Translation (SP)
|
100% |
1260
21.7 IPS |
|
|
Machine Translation (HP)
|
100% |
6140
105.8 IPS |
|
|
Machine Translation (Q)
|
56% |
5737
147.2 IPS |
