Samsung Galaxy S24 Ultra
Geekbench AI Score
2286
Single Precision Score
2186
Half Precision Score
3317
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 21 2025 04:53 PM |
| 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 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% |
2337
434.7 IPS |
|
|
Image Classification (HP)
|
100% |
2285
425.0 IPS |
|
|
Image Classification (Q)
|
100% |
2865
532.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2597
42.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2217
35.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
3351
54.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
3655
4.26 IPS |
|
|
Pose Estimation (HP)
|
100% |
3663
4.27 IPS |
|
|
Pose Estimation (Q)
|
84% |
7473
8.86 IPS |
|
|
Object Detection (SP)
|
98% |
1606
127.8 IPS |
|
|
Object Detection (HP)
|
98% |
1601
127.4 IPS |
|
|
Object Detection (Q)
|
83% |
2321
187.5 IPS |
|
|
Face Detection (SP)
|
100% |
3153
37.5 IPS |
|
|
Face Detection (HP)
|
100% |
2126
25.3 IPS |
|
|
Face Detection (Q)
|
95% |
5099
60.9 IPS |
|
|
Depth Estimation (SP)
|
99% |
3116
24.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
3202
24.7 IPS |
|
|
Depth Estimation (Q)
|
64% |
5244
48.0 IPS |
|
|
Style Transfer (SP)
|
89% |
7793
10.1 IPS |
|
|
Style Transfer (HP)
|
89% |
7908
10.3 IPS |
|
|
Style Transfer (Q)
|
98% |
15096
19.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1560
57.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1576
58.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3751
139.0 IPS |
|
|
Text Classification (SP)
|
100% |
637
850.4 IPS |
|
|
Text Classification (HP)
|
99% |
689
919.8 IPS |
|
|
Text Classification (Q)
|
88% |
961
1.30 KIPS |
|
|
Machine Translation (SP)
|
100% |
1440
24.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1441
24.8 IPS |
|
|
Machine Translation (Q)
|
50% |
667
23.7 IPS |
