Samsung Galaxy S24+
Geekbench AI Score
1071
Single Precision Score
1581
Half Precision Score
1626
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | May 18 2025 01:52 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | Qualcomm Snapdragon 8 Gen 3 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | Samsung Galaxy S24+ |
| Model ID | samsung SM-S926W |
| 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% |
614
114.2 IPS |
|
|
Image Classification (HP)
|
100% |
698
129.7 IPS |
|
|
Image Classification (Q)
|
96% |
572
106.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1305
21.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1177
19.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
1222
19.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
1106
1.29 IPS |
|
|
Pose Estimation (HP)
|
100% |
2485
2.90 IPS |
|
|
Pose Estimation (Q)
|
96% |
2448
2.87 IPS |
|
|
Object Detection (SP)
|
100% |
695
55.1 IPS |
|
|
Object Detection (HP)
|
100% |
800
63.5 IPS |
|
|
Object Detection (Q)
|
87% |
1101
88.4 IPS |
|
|
Face Detection (SP)
|
100% |
1570
18.7 IPS |
|
|
Face Detection (HP)
|
100% |
3156
37.5 IPS |
|
|
Face Detection (Q)
|
97% |
2898
34.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
1904
14.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
4010
31.0 IPS |
|
|
Depth Estimation (Q)
|
63% |
3288
30.5 IPS |
|
|
Style Transfer (SP)
|
100% |
6607
8.49 IPS |
|
|
Style Transfer (HP)
|
100% |
10805
13.9 IPS |
|
|
Style Transfer (Q)
|
98% |
10836
14.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
543
20.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1461
53.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1567
58.1 IPS |
|
|
Text Classification (SP)
|
100% |
443
590.7 IPS |
|
|
Text Classification (HP)
|
100% |
445
594.6 IPS |
|
|
Text Classification (Q)
|
91% |
731
982.2 IPS |
|
|
Machine Translation (SP)
|
100% |
680
11.7 IPS |
|
|
Machine Translation (HP)
|
100% |
672
11.6 IPS |
|
|
Machine Translation (Q)
|
57% |
582
14.2 IPS |
