Samsung Galaxy S24
Geekbench AI Score
2475
Single Precision Score
2468
Half Precision Score
3649
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | July 11 2025 11:43 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Qualcomm Snapdragon 8 Gen 3 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | Samsung Galaxy S24 |
| Model ID | samsung SM-S921U1 |
| Motherboard | pineapple |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 0 part 3458 revision 1 |
| Base Frequency | 2.26 GHz |
| Cluster 1 | 2 Cores @ 2.27 GHz |
| Cluster 2 | 2 Cores @ 2.96 GHz |
| Cluster 3 | 3 Cores @ 3.15 GHz |
| Cluster 4 | 1 Core @ 3.40 GHz |
| Memory Information | |
|---|---|
| Size | 6.95 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2407
447.7 IPS |
|
|
Image Classification (HP)
|
100% |
2500
464.9 IPS |
|
|
Image Classification (Q)
|
100% |
2865
532.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2678
43.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2664
43.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
4297
69.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
4291
5.01 IPS |
|
|
Pose Estimation (HP)
|
100% |
4231
4.94 IPS |
|
|
Pose Estimation (Q)
|
84% |
8723
10.3 IPS |
|
|
Object Detection (SP)
|
98% |
1764
140.4 IPS |
|
|
Object Detection (HP)
|
98% |
1726
137.3 IPS |
|
|
Object Detection (Q)
|
83% |
2459
198.7 IPS |
|
|
Face Detection (SP)
|
100% |
3462
41.1 IPS |
|
|
Face Detection (HP)
|
100% |
3467
41.2 IPS |
|
|
Face Detection (Q)
|
95% |
5406
64.5 IPS |
|
|
Depth Estimation (SP)
|
99% |
3260
25.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
3262
25.2 IPS |
|
|
Depth Estimation (Q)
|
64% |
5566
51.0 IPS |
|
|
Style Transfer (SP)
|
89% |
8516
11.1 IPS |
|
|
Style Transfer (HP)
|
89% |
8505
11.0 IPS |
|
|
Style Transfer (Q)
|
98% |
16154
20.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1676
61.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1693
62.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4021
149.0 IPS |
|
|
Text Classification (SP)
|
100% |
699
933.4 IPS |
|
|
Text Classification (HP)
|
99% |
687
916.3 IPS |
|
|
Text Classification (Q)
|
88% |
1122
1.51 KIPS |
|
|
Machine Translation (SP)
|
100% |
1571
27.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1544
26.6 IPS |
|
|
Machine Translation (Q)
|
50% |
724
25.7 IPS |
