Samsung Galaxy S24 Ultra
Geekbench AI Score
1150
Single Precision Score
1720
Half Precision Score
1572
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 22 2025 10:10 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
668
124.3 IPS |
|
|
Image Classification (HP)
|
100% |
688
127.9 IPS |
|
|
Image Classification (Q)
|
96% |
595
111.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1298
21.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1933
31.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
1515
24.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
1118
1.31 IPS |
|
|
Pose Estimation (HP)
|
100% |
2526
2.95 IPS |
|
|
Pose Estimation (Q)
|
96% |
2490
2.92 IPS |
|
|
Object Detection (SP)
|
100% |
696
55.2 IPS |
|
|
Object Detection (HP)
|
100% |
1129
89.6 IPS |
|
|
Object Detection (Q)
|
87% |
819
65.8 IPS |
|
|
Face Detection (SP)
|
100% |
2597
30.9 IPS |
|
|
Face Detection (HP)
|
100% |
2951
35.1 IPS |
|
|
Face Detection (Q)
|
97% |
2321
27.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
1888
14.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
3974
30.7 IPS |
|
|
Depth Estimation (Q)
|
63% |
3248
30.1 IPS |
|
|
Style Transfer (SP)
|
100% |
6600
8.48 IPS |
|
|
Style Transfer (HP)
|
100% |
10798
13.9 IPS |
|
|
Style Transfer (Q)
|
98% |
10677
13.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
542
20.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1382
51.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1345
49.8 IPS |
|
|
Text Classification (SP)
|
100% |
468
625.3 IPS |
|
|
Text Classification (HP)
|
100% |
470
627.4 IPS |
|
|
Text Classification (Q)
|
91% |
759
1.02 KIPS |
|
|
Machine Translation (SP)
|
100% |
731
12.6 IPS |
|
|
Machine Translation (HP)
|
100% |
727
12.5 IPS |
|
|
Machine Translation (Q)
|
57% |
614
15.0 IPS |
