Samsung Galaxy S24+
Geekbench AI Score
3582
Single Precision Score
24954
Half Precision Score
46756
Quantized Score
Geekbench AI 1.2.0 Corporate for Android AArch64
Result Information
| Upload Date | December 04 2024 06:35 AM |
| Views | 3 |
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 | 10.52 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1603
298.1 IPS |
|
|
Image Classification (HP)
|
100% |
16896
3.14 KIPS |
|
|
Image Classification (Q)
|
100% |
32674
6.08 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3077
49.9 IPS |
|
|
Image Segmentation (HP)
|
97% |
12271
199.6 IPS |
|
|
Image Segmentation (Q)
|
96% |
27867
453.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
14999
17.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
87590
102.2 IPS |
|
|
Pose Estimation (Q)
|
97% |
300732
352.2 IPS |
|
|
Object Detection (SP)
|
100% |
1576
125.0 IPS |
|
|
Object Detection (HP)
|
100% |
14012
1.11 KIPS |
|
|
Object Detection (Q)
|
90% |
23419
1.87 KIPS |
|
|
Face Detection (SP)
|
100% |
4928
58.6 IPS |
|
|
Face Detection (HP)
|
100% |
40156
477.1 IPS |
|
|
Face Detection (Q)
|
97% |
101337
1.21 KIPS |
|
|
Depth Estimation (SP)
|
100% |
5650
43.5 IPS |
|
|
Depth Estimation (HP)
|
79% |
56700
450.3 IPS |
|
|
Depth Estimation (Q)
|
62% |
106397
1.02 KIPS |
|
|
Style Transfer (SP)
|
100% |
29083
37.4 IPS |
|
|
Style Transfer (HP)
|
99% |
174172
223.9 IPS |
|
|
Style Transfer (Q)
|
98% |
266502
343.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4129
152.5 IPS |
|
|
Image Super-Resolution (HP)
|
83% |
22607
851.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
58938
2.18 KIPS |
|
|
Text Classification (SP)
|
100% |
705
941.1 IPS |
|
|
Text Classification (HP)
|
100% |
6734
8.99 KIPS |
|
|
Text Classification (Q)
|
93% |
8106
10.9 KIPS |
|
|
Machine Translation (SP)
|
100% |
1267
21.8 IPS |
|
|
Machine Translation (HP)
|
100% |
6096
105.0 IPS |
|
|
Machine Translation (Q)
|
56% |
5672
145.5 IPS |
