Samsung Galaxy S24 Ultra
Geekbench AI Score
2062
Single Precision Score
2131
Half Precision Score
3163
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | July 15 2025 09:54 AM |
| Views | 7 |
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 Ultra |
| Model ID | samsung SM-S928B |
| 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% |
1132
210.5 IPS |
|
|
Image Classification (HP)
|
100% |
1385
257.5 IPS |
|
|
Image Classification (Q)
|
100% |
1815
337.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1600
25.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1805
29.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
2755
44.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
3430
4.00 IPS |
|
|
Pose Estimation (HP)
|
100% |
3278
3.82 IPS |
|
|
Pose Estimation (Q)
|
84% |
7023
8.33 IPS |
|
|
Object Detection (SP)
|
98% |
1530
121.8 IPS |
|
|
Object Detection (HP)
|
98% |
1525
121.3 IPS |
|
|
Object Detection (Q)
|
83% |
2206
178.2 IPS |
|
|
Face Detection (SP)
|
100% |
3440
40.9 IPS |
|
|
Face Detection (HP)
|
100% |
3396
40.4 IPS |
|
|
Face Detection (Q)
|
95% |
5418
64.7 IPS |
|
|
Depth Estimation (SP)
|
99% |
3414
26.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
3271
25.3 IPS |
|
|
Depth Estimation (Q)
|
64% |
5539
50.7 IPS |
|
|
Style Transfer (SP)
|
89% |
8035
10.4 IPS |
|
|
Style Transfer (HP)
|
89% |
7982
10.4 IPS |
|
|
Style Transfer (Q)
|
98% |
15178
19.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1542
56.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1540
56.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3812
141.3 IPS |
|
|
Text Classification (SP)
|
100% |
650
868.1 IPS |
|
|
Text Classification (HP)
|
99% |
740
987.2 IPS |
|
|
Text Classification (Q)
|
88% |
1026
1.38 KIPS |
|
|
Machine Translation (SP)
|
100% |
1552
26.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1532
26.4 IPS |
|
|
Machine Translation (Q)
|
50% |
727
25.8 IPS |
