Samsung Galaxy S24
Geekbench AI Score
315
Single Precision Score
334
Half Precision Score
1037
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 19 2025 12:13 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | Samsung Exynos 2400 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | Samsung Galaxy S24 |
| Model ID | samsung SM-S921B |
| 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 | 7.06 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
297
55.2 IPS |
|
|
Image Classification (HP)
|
100% |
285
52.9 IPS |
|
|
Image Classification (Q)
|
99% |
708
132.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
870
14.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1503
24.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
759
12.3 IPS |
|
|
Pose Estimation (SP)
|
0
|
||
|
Pose Estimation (HP)
|
0
|
||
|
Pose Estimation (Q)
|
98% |
1937
2.27 IPS |
|
|
Object Detection (SP)
|
100% |
273
21.6 IPS |
|
|
Object Detection (HP)
|
100% |
274
21.7 IPS |
|
|
Object Detection (Q)
|
87% |
746
59.8 IPS |
|
|
Face Detection (SP)
|
100% |
664
7.89 IPS |
|
|
Face Detection (HP)
|
100% |
665
7.90 IPS |
|
|
Face Detection (Q)
|
97% |
1622
19.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
572
4.40 IPS |
|
|
Depth Estimation (HP)
|
99% |
576
4.44 IPS |
|
|
Depth Estimation (Q)
|
64% |
1369
12.4 IPS |
|
|
Style Transfer (SP)
|
100% |
940
1.21 IPS |
|
|
Style Transfer (HP)
|
100% |
938
1.21 IPS |
|
|
Style Transfer (Q)
|
98% |
2289
2.95 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1491
55.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1637
60.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1041
38.6 IPS |
|
|
Text Classification (SP)
|
100% |
414
552.6 IPS |
|
|
Text Classification (HP)
|
100% |
413
551.4 IPS |
|
|
Text Classification (Q)
|
91% |
694
932.9 IPS |
|
|
Machine Translation (SP)
|
100% |
631
10.9 IPS |
|
|
Machine Translation (HP)
|
100% |
623
10.7 IPS |
|
|
Machine Translation (Q)
|
57% |
508
12.4 IPS |
