Samsung Galaxy S24 Ultra
Geekbench AI Score
2595
Single Precision Score
2471
Half Precision Score
3952
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | dustink92 |
| Upload Date | January 31 2025 10:30 PM |
| 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-S928U1 |
| 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% |
2057
382.5 IPS |
|
|
Image Classification (HP)
|
100% |
1487
276.6 IPS |
|
|
Image Classification (Q)
|
100% |
3543
658.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2686
43.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2735
44.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
4247
69.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
4379
5.11 IPS |
|
|
Pose Estimation (HP)
|
100% |
4147
4.84 IPS |
|
|
Pose Estimation (Q)
|
84% |
9776
11.6 IPS |
|
|
Object Detection (SP)
|
98% |
1967
156.5 IPS |
|
|
Object Detection (HP)
|
98% |
1915
152.4 IPS |
|
|
Object Detection (Q)
|
83% |
2311
186.7 IPS |
|
|
Face Detection (SP)
|
100% |
3348
39.8 IPS |
|
|
Face Detection (HP)
|
100% |
3436
40.8 IPS |
|
|
Face Detection (Q)
|
95% |
5682
67.8 IPS |
|
|
Depth Estimation (SP)
|
99% |
3438
26.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
3491
27.0 IPS |
|
|
Depth Estimation (Q)
|
64% |
6636
60.8 IPS |
|
|
Style Transfer (SP)
|
89% |
9650
12.5 IPS |
|
|
Style Transfer (HP)
|
89% |
9774
12.7 IPS |
|
|
Style Transfer (Q)
|
98% |
19328
24.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2050
75.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1955
72.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4503
166.8 IPS |
|
|
Text Classification (SP)
|
100% |
846
1.13 KIPS |
|
|
Text Classification (HP)
|
99% |
796
1.06 KIPS |
|
|
Text Classification (Q)
|
88% |
1173
1.58 KIPS |
|
|
Machine Translation (SP)
|
100% |
1513
26.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1441
24.8 IPS |
|
|
Machine Translation (Q)
|
50% |
711
25.2 IPS |
