Samsung Galaxy S24+
Geekbench AI Score
1348
Single Precision Score
2431
Half Precision Score
1859
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | October 13 2025 12:01 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | Samsung Exynos 2400 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| 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 | 10.94 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
715
132.9 IPS |
|
|
Image Classification (HP)
|
100% |
1514
281.5 IPS |
|
|
Image Classification (Q)
|
100% |
1249
232.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1339
21.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2506
40.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
2408
39.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
6215
7.25 IPS |
|
|
Pose Estimation (HP)
|
99% |
12552
14.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
12164
14.3 IPS |
|
|
Object Detection (SP)
|
100% |
568
45.1 IPS |
|
|
Object Detection (HP)
|
99% |
1053
83.5 IPS |
|
|
Object Detection (Q)
|
84% |
1226
98.9 IPS |
|
|
Face Detection (SP)
|
100% |
2995
35.6 IPS |
|
|
Face Detection (HP)
|
100% |
4577
54.4 IPS |
|
|
Face Detection (Q)
|
97% |
3911
46.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
3593
27.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
6357
49.1 IPS |
|
|
Depth Estimation (Q)
|
62% |
4841
46.7 IPS |
|
|
Style Transfer (SP)
|
100% |
13940
17.9 IPS |
|
|
Style Transfer (HP)
|
100% |
23317
30.0 IPS |
|
|
Style Transfer (Q)
|
98% |
23894
30.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2442
90.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3349
123.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3183
118.0 IPS |
|
|
Text Classification (SP)
|
29% |
23
390.0 IPS |
|
|
Text Classification (HP)
|
35% |
63
568.6 IPS |
|
|
Text Classification (Q)
|
31% |
39
587.5 IPS |
|
|
Machine Translation (SP)
|
100% |
700
12.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1006
17.3 IPS |
|
|
Machine Translation (Q)
|
42% |
196
12.7 IPS |
