Samsung Galaxy S24
Geekbench AI Score
1937
Single Precision Score
1853
Half Precision Score
2704
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | April 18 2025 04:46 AM |
| Views | 1 |
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-S921W |
| 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% |
1860
345.9 IPS |
|
|
Image Classification (HP)
|
100% |
1320
245.4 IPS |
|
|
Image Classification (Q)
|
100% |
2389
444.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2236
36.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2239
36.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
3598
58.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
3154
3.68 IPS |
|
|
Pose Estimation (HP)
|
100% |
2873
3.35 IPS |
|
|
Pose Estimation (Q)
|
84% |
6316
7.49 IPS |
|
|
Object Detection (SP)
|
98% |
1322
105.2 IPS |
|
|
Object Detection (HP)
|
98% |
1305
103.8 IPS |
|
|
Object Detection (Q)
|
83% |
1684
136.0 IPS |
|
|
Face Detection (SP)
|
100% |
2643
31.4 IPS |
|
|
Face Detection (HP)
|
100% |
2634
31.3 IPS |
|
|
Face Detection (Q)
|
95% |
4194
50.1 IPS |
|
|
Depth Estimation (SP)
|
99% |
2669
20.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
2627
20.3 IPS |
|
|
Depth Estimation (Q)
|
64% |
3872
35.5 IPS |
|
|
Style Transfer (SP)
|
89% |
6924
8.99 IPS |
|
|
Style Transfer (HP)
|
89% |
6942
9.01 IPS |
|
|
Style Transfer (Q)
|
98% |
12925
16.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1281
47.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1375
50.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3171
117.5 IPS |
|
|
Text Classification (SP)
|
100% |
582
777.1 IPS |
|
|
Text Classification (HP)
|
99% |
585
780.6 IPS |
|
|
Text Classification (Q)
|
88% |
797
1.07 KIPS |
|
|
Machine Translation (SP)
|
100% |
1182
20.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1119
19.3 IPS |
|
|
Machine Translation (Q)
|
50% |
431
15.3 IPS |
