Samsung Galaxy S24+
Geekbench AI Score
2885
Single Precision Score
2886
Half Precision Score
4566
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | March 31 2025 01:25 AM |
| 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% |
2312
430.0 IPS |
|
|
Image Classification (HP)
|
100% |
2475
460.3 IPS |
|
|
Image Classification (Q)
|
100% |
3258
605.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2738
44.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2711
43.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
4453
72.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
4084
4.77 IPS |
|
|
Pose Estimation (HP)
|
100% |
4054
4.73 IPS |
|
|
Pose Estimation (Q)
|
84% |
9632
11.4 IPS |
|
|
Object Detection (SP)
|
98% |
2152
171.2 IPS |
|
|
Object Detection (HP)
|
98% |
2210
175.9 IPS |
|
|
Object Detection (Q)
|
83% |
3512
283.7 IPS |
|
|
Face Detection (SP)
|
100% |
4224
50.2 IPS |
|
|
Face Detection (HP)
|
100% |
3872
46.0 IPS |
|
|
Face Detection (Q)
|
95% |
7640
91.2 IPS |
|
|
Depth Estimation (SP)
|
99% |
4112
31.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
4199
32.4 IPS |
|
|
Depth Estimation (Q)
|
64% |
7295
66.8 IPS |
|
|
Style Transfer (SP)
|
89% |
9756
12.7 IPS |
|
|
Style Transfer (HP)
|
89% |
9767
12.7 IPS |
|
|
Style Transfer (Q)
|
98% |
19573
25.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2136
78.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2244
82.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
5124
189.9 IPS |
|
|
Text Classification (SP)
|
100% |
1101
1.47 KIPS |
|
|
Text Classification (HP)
|
99% |
1082
1.44 KIPS |
|
|
Text Classification (Q)
|
88% |
1549
2.09 KIPS |
|
|
Machine Translation (SP)
|
100% |
1802
31.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1730
29.8 IPS |
|
|
Machine Translation (Q)
|
50% |
927
32.9 IPS |
