Samsung Galaxy S24+
Geekbench AI Score
3536
Single Precision Score
25151
Half Precision Score
46305
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | December 13 2024 10:14 PM |
| 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% |
1598
297.1 IPS |
|
|
Image Classification (HP)
|
100% |
17046
3.17 KIPS |
|
|
Image Classification (Q)
|
100% |
32477
6.04 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3049
49.4 IPS |
|
|
Image Segmentation (HP)
|
97% |
12615
205.2 IPS |
|
|
Image Segmentation (Q)
|
96% |
28497
463.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
14598
17.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
88120
102.8 IPS |
|
|
Pose Estimation (Q)
|
97% |
303148
355.0 IPS |
|
|
Object Detection (SP)
|
100% |
1594
126.4 IPS |
|
|
Object Detection (HP)
|
100% |
13993
1.11 KIPS |
|
|
Object Detection (Q)
|
90% |
21119
1.69 KIPS |
|
|
Face Detection (SP)
|
100% |
5105
60.7 IPS |
|
|
Face Detection (HP)
|
100% |
40040
475.8 IPS |
|
|
Face Detection (Q)
|
97% |
101214
1.21 KIPS |
|
|
Depth Estimation (SP)
|
100% |
5593
43.1 IPS |
|
|
Depth Estimation (HP)
|
79% |
56805
451.1 IPS |
|
|
Depth Estimation (Q)
|
62% |
106631
1.02 KIPS |
|
|
Style Transfer (SP)
|
100% |
29409
37.8 IPS |
|
|
Style Transfer (HP)
|
99% |
174606
224.5 IPS |
|
|
Style Transfer (Q)
|
98% |
266545
343.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4171
154.0 IPS |
|
|
Image Super-Resolution (HP)
|
83% |
22896
860.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
58598
2.17 KIPS |
|
|
Text Classification (SP)
|
100% |
607
809.6 IPS |
|
|
Text Classification (HP)
|
100% |
6796
9.07 KIPS |
|
|
Text Classification (Q)
|
93% |
8044
10.8 KIPS |
|
|
Machine Translation (SP)
|
100% |
1270
21.9 IPS |
|
|
Machine Translation (HP)
|
100% |
6183
106.5 IPS |
|
|
Machine Translation (Q)
|
56% |
5641
144.7 IPS |
