Samsung Galaxy S24+
Geekbench AI Score
2413
Single Precision Score
2423
Half Precision Score
3771
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | September 17 2024 12:24 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Qualcomm Snapdragon 8 Gen 3 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | Samsung Galaxy S24+ |
| Model ID | samsung SM-S926U |
| 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 | 10.83 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2356
438.1 IPS |
|
|
Image Classification (HP)
|
100% |
2227
414.2 IPS |
|
|
Image Classification (Q)
|
100% |
3456
642.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2566
41.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2465
40.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
4342
70.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
4099
4.78 IPS |
|
|
Pose Estimation (HP)
|
100% |
4027
4.70 IPS |
|
|
Pose Estimation (Q)
|
84% |
9509
11.3 IPS |
|
|
Object Detection (SP)
|
98% |
1463
116.4 IPS |
|
|
Object Detection (HP)
|
98% |
1724
137.2 IPS |
|
|
Object Detection (Q)
|
83% |
2231
180.2 IPS |
|
|
Face Detection (SP)
|
100% |
3350
39.8 IPS |
|
|
Face Detection (HP)
|
100% |
3305
39.3 IPS |
|
|
Face Detection (Q)
|
95% |
5333
63.7 IPS |
|
|
Depth Estimation (SP)
|
99% |
3559
27.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
3520
27.2 IPS |
|
|
Depth Estimation (Q)
|
64% |
5829
53.4 IPS |
|
|
Style Transfer (SP)
|
89% |
8437
11.0 IPS |
|
|
Style Transfer (HP)
|
89% |
8404
10.9 IPS |
|
|
Style Transfer (Q)
|
98% |
15826
20.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1601
59.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1700
62.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4026
149.2 IPS |
|
|
Text Classification (SP)
|
100% |
744
992.8 IPS |
|
|
Text Classification (HP)
|
99% |
733
977.7 IPS |
|
|
Text Classification (Q)
|
88% |
1029
1.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
1546
26.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1505
25.9 IPS |
|
|
Machine Translation (Q)
|
50% |
898
31.9 IPS |
