Samsung Galaxy S24 Ultra
Geekbench AI Score
2339
Single Precision Score
2398
Half Precision Score
3396
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | rodrigo_rl |
| Upload Date | June 16 2025 06:25 PM |
| Views | 3 |
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% |
2290
425.8 IPS |
|
|
Image Classification (HP)
|
100% |
2346
436.4 IPS |
|
|
Image Classification (Q)
|
100% |
2709
503.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2477
40.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2508
40.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
2803
45.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
2922
3.41 IPS |
|
|
Pose Estimation (HP)
|
100% |
3640
4.25 IPS |
|
|
Pose Estimation (Q)
|
84% |
8381
9.94 IPS |
|
|
Object Detection (SP)
|
98% |
1806
143.7 IPS |
|
|
Object Detection (HP)
|
98% |
1801
143.3 IPS |
|
|
Object Detection (Q)
|
83% |
2454
198.2 IPS |
|
|
Face Detection (SP)
|
100% |
3380
40.2 IPS |
|
|
Face Detection (HP)
|
100% |
3395
40.3 IPS |
|
|
Face Detection (Q)
|
95% |
5346
63.8 IPS |
|
|
Depth Estimation (SP)
|
99% |
3420
26.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
3438
26.6 IPS |
|
|
Depth Estimation (Q)
|
64% |
5330
48.8 IPS |
|
|
Style Transfer (SP)
|
89% |
8154
10.6 IPS |
|
|
Style Transfer (HP)
|
89% |
8147
10.6 IPS |
|
|
Style Transfer (Q)
|
98% |
15117
19.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1608
59.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1675
61.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3844
142.4 IPS |
|
|
Text Classification (SP)
|
100% |
699
933.3 IPS |
|
|
Text Classification (HP)
|
99% |
677
903.7 IPS |
|
|
Text Classification (Q)
|
88% |
1124
1.52 KIPS |
|
|
Machine Translation (SP)
|
100% |
1548
26.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1516
26.1 IPS |
|
|
Machine Translation (Q)
|
50% |
704
25.0 IPS |
